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Text Mining, the Tidy Way
 
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Delivered by Julia Silge (Stack Overflow) at the 2017 New York R Conference on April 21st and 22nd at Work-Bench.
Views: 3475 Work-Bench
Lexalytics User Group Conference - Brandon Kane of Angoss on Text Mining and Predictive Analytics
 
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Brandon Kane of Angoss discusses how to use the Lexalytics Salience engine to power their Predictive Analysis work. Through the use of text mining and sentiment analysis, Brandon demonstrates how Angoss evolved their business and increased their productivity, as well as their competitiveness. http://www.lexalytics.com/ http://www.angoss.com/
Views: 574 Lexalytics
Data Mining and Text Mining with John Elder
 
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Analytics 2014 Conference Keynote Conference John Elder of Elder Research explains the top three challenges of data mining and text mining, and how to solve them. Learn more about Analytics 2014 at http://www.sas.com/analyticsseries/us/
Views: 1172 SAS Software
Text Mining with Tidy Data Principles and Count-based Methods
 
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Speaker: Julia Silge, StackOverflow Presented on November 30, 2017, as part of the 2017 TextXD Conference (https://bids.berkeley.edu/events/textxd-conference) at the Berkeley Institute for Data Science (BIDS) (bids.berkeley.edu).
GOTO 2013 • Elasticsearch - Beyond Full-text Search • Alex Reelsen
 
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This presentation was recorded at GOTO Aarhus 2013 http://gotocon.com Alex Reelsen - Software Engineer at Elasticsearch ABSTRACT Elasticsearch is the leading real-time, distributed, open source search and analytics engine. In addition to providing a highly scalable full-text search engine, users choose Elasticsearch to build sophisticated real-time analytics applications. Recently recommended by Thoughtworks as the #1 technology platform to adopt, Elasticsearch users include SoundCloud, Github, Foursquare and StackOverflow. We'll show some of the real world examples of the cool stuff they are doing using Elasticsearch. https://twitter.com/gotocon https://www.facebook.com/GOTOConference http://gotocon.com
Views: 17813 GOTO Conferences
A Guided Tour through the World of Text Analytics | Mark Cieliebak | TEDxYouth@Zurich
 
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Mark founded SpinningBytes in 2015, a company that develops text analytics solutions for its clients; in other words, they develop algorithms to detect patterns and nuances in text that previously could only be done by humans. With Artificial Intelligence gaining ground in sophistication every day, Mark will discuss the recent advances in Natural Language Processing (NLP): which covers areas such as topic detection, sentiment analysis, and chatbots. He aims to show how recent advances in Artificial Intelligence has dramatically improved the capabilities of NLP systems, and what this may lead to in the future. Mark Cieleback was born in Hagen, Germany; he studied computer science in Dortmund and then moved to Switzerland to complete his PhD at ETH. He has been a professor at the Zurich University of Applied Sciences (ZHAW) for the last 5 years. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Views: 248 TEDx Talks
Process mining - the next big thing - 9th Annual ABSL Conference
 
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9th Annual ABSL Conference Day 2, 08.06.2018 "Process mining - the next big thing" Rasto Hlavac - CEO Minit
Views: 92 ABSL Polska
Text Mining of Electronic News Content for Economic Research, Pt. 1
 
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Guest Speaker Panos Ipeirotis talks to students about gathering econmic, political, and other information from online text for economic research.
Views: 863 New York University
Creating Domain-Specific Sentiment Lexicons via Text Mining
 
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Author: Kevin Labille, University of Arkansas Abstract: Sentiment analysis aims to identify and categorize customer’s opinion and judgments using either traditional supervised learning techniques or unsupervised approaches. Traditionally, Sentiment Analysis is performed using machine learning techniques such as a naive Bayes classification or support vector machines (SVM), or could make use of a sentiment lexicon, that is, a list of words that are mapped to a sentiment score. Our work focuses on generating a domain-specific lexicon using probabilities and information theoretic techniques. By employing text mining, we overcome the poor performance of transferred supervised machine learning techniques and remove the need to adapt an existing lexicon while maintaining accuracy. We show that text mining techniques performs as well as traditional approaches and we demonstrate that domain specific lexicons perform better than general lexicons in a sentiment analysis task. We further review and compare the generated lexicons. More on http://www.kdd.org/kdd2017/ KDD2017 Conference is published on http://videolectures.net/
Views: 95 KDD2017 video
A Fun Introduction to Text and Data Mining - Federico Nanni
 
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Video recorded at the Workshop On mining Scientific Publications, 19th-23rd June at The University of Toronto, as a part of JCDL 2017 (Joint Conference on Digital Libraries).
Views: 156 OpenMinTeD
Repository Data Mining on GitHub @ WeAreDevelopers Conference 2017
 
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Visit the largest developers congress in Europe: WeAreDevelopers World Congress, 16 - 18 May 2018 in Vienna, Austria. https://www.wearedevelopers.com/congress/ Maxim Schuwalow, Fabian Richter, Tobias Ludwig and Johannes Nicolai from GitHub https://www.wearedevelopers.com/ Facebook: https://www.facebook.com/wearedevelopers.org/ Twitter: https://www.twitter.com/wearedevs/ LinkedIn: https://www.linkedin.com/company/wearedevelopers.org/
Views: 489 WeAreDevelopers
"Deep Learning for Text Analysis" by Ananth Iyer and Felix Wyss
 
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"Deep Learning for Text Analysis" by Ananth Iyer and Felix Wyss, Genesys, Inc. IndyPy's Pythology One-Day Conference on Machine Learning, AI, and Genetic Programming. Join the conversation: Meetup: http://indypy.com/ Slack: https://indypy-invite.herokuapp.com ; Twitter: @indypy Thanks to our awesome sponsors: Six Feet Up is your local Python web application and cloud orchestration partner https://sixfeetup.com/ Submit a talk: https://goo.gl/forms/7fOEQjpuWkUo1VWO2 Sponsor IndyPy: https://www.meetup.com/indypy/pages/21793841/Sponsorships/
Views: 258 Six Feet Up Corp
Semantria + Tableau for visual text mining
 
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Using Tableau to visualize text content processed through the Lexalytics Semantria Excel plugin.
Views: 1835 Lexalytics
2017 Megaputer Analytics Conference
 
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Megaputer Intelligence is gearing up for an information-packed 4-Day Event that includes two workshop and two conference days. Attendees are signing up from several different companies and have different professional backgrounds. Don't miss out this fall, when experts converge on Bloomington, Indiana, to share experiences and insight on current trends in data and text analytics. Register before September 1, 2017 and save 15% on registration and more. Recorded by: Megaputer Intelligence, Inc. July 26, 2017 Music by: Alexander Blu
Predicative analytics with “text mining” provides line of sight to loss trends.
 
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With advances in data collection and new technologies, predictive analytics have become more and more prevalent among the risk management community. At the 2014 RIMS Conference, Steven Laudermilch, SVP of Claims ACE Claims Group, provided an overview of recent developments in predictive analytics, and offered some advice for risk managers. Mr. Laudermilch says one of the biggest misconceptions about predictive modeling is that building the mode is the more difficult than putting it into place. He acknowledges the expertise and investment required to build models, “putting it to work is the greatest operational challenge that companies face.” He warns companies not to dismiss the output, but accept it as insight to claims. According to Mr. Laudermilch, “about three-quarters of claims represent about 75% of loss costs to an organization.” He says companies “need to find the loss driving segment of claims…intervene on those claims…and you have to drive better outcomes.” Predictive analytics “put a spotlight on claims…to drive business value.” Structured data has a lot of limitations. “Text mining is the ability to access and analyze unstructured data (like claim notes)”, something ACE has invested heavily in. Text mining allows risk managers to sift through claims notes to look for risks that might be emerging…providing “a line of sight into loss trends and experience.” Mr. Laudermilch believes risk managers without predictive analytics should “get onboard quickly.” He suggests they be thoughtful in their adoption. He likens predictive analytics without an organized operational response to an “unused gym membership.” He believes risk managers must embed predictive analytics into the claims process, change the way you intervene on claims, attack severity claims and drive better outcomes.” Companies that do not dot it will be at a competitive disadvantage. For more World Risk and Insurance News from the 2015 RIMS Conference in New Orleans, visit the dedicated RIMS 2015 Channel in the WRIN.tv On Demand Library.
Views: 115 WRINtv
Data mining within to discover your true self | Tirthankar Dash | TEDxBangalore
 
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In today's world we seem more lost despite the abundance of information. Tirthankar Dash, story teller & design thinker for leading businesses around the world gives us a cheat sheet to discover the inner story in each one of us, towards living a more fulfilled life Dash is the founder of Quantum360, a design firm that takes a human-centered, design-based approach to helping organisations innovate and design for a more human future. He is also the co-founder of StoryCompany, a company that serves as a search engine to find meaning at work and in life. StoryCo. is devoted to humanizing workplaces and helping each person explore themselves, their beliefs, behavior patterns and indeed their own story to arrive at their own unique answer to a fundamental question - “What makes my life meaningful?” This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 3505 TEDx Talks
2018 Crypto Valley Conference: Data mining for detecting Bitcoin Ponzi schemes
 
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The 2018 Crypto Valley Conference in collaboration with Lucerne University of Applied Sciences and Arts has invited leading speakers, researchers and academics to share their latest discoveries in the domain of blockchain technology. This annual event includes a business and academic track. The scientific publications, presented at the conference can be found on IEEE Xplore Digital Library.
Views: 45 Crypto Valley
Luís Paulo Reis - Text Mining to Improve Qualitative Data Analysis of Large Document Collections
 
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Closing Conference // 3rd World Conference on Qualitative Research (17 to 19 October 2018 - Lisbon, Portugal) Text Mining to Improve Qualitative Data Analysis of Large Document Collections Text Mining is the process of deriving high-quality information from text using analytical and natural language processing methods. Text analysis involves among others, information retrieval, lexical analysis, pattern recognition, tagging/annotation, information extraction, data mining, visualization, and predictive analytics. The main goal is, essentially, to turn text into valid information for analysis. This Talk introduces the main processes and methodologies of text mining to support qualitative data analysis of large-scale document collections. It aims to contribute to the steadily growing field of qualitative research facing the challenge to consolidate text analysis methods to be able to process vast amounts of text, in a semi-autonomous manner, using modern data and text mining algorithms. The talk illustrates with examples and results from recent LIACC projects on this area with emphasis on our projects on complaints analysis developed together with the Portuguese Government (Min. Economy/ASAE) and several projects developed together with large companies such as Twitómetro/TwitterEcho, VOXX, Time Machine, Financial Sentiment Analysis and Argumentation Mining.
What are the current challenges in Text and Data Mining? - Monica Ihli
 
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Video recorded at the Workshop On mining Scientific Publications, 19th-23rd June at The University of Toronto, as a part of JCDL 2017 (Joint Conference on Digital Libraries).
Views: 123 OpenMinTeD
Natural Language Processing in Python
 
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Alice Zhao https://pyohio.org/2018/schedule/presentation/38/ Natural language processing (NLP) is an exciting branch of artificial intelligence (AI) that allows machines to break down and understand human language. As a data scientist, I often use NLP techniques to interpret text data that I'm working with for my analysis. During this tutorial, I plan to walk through text pre-processing techniques, machine learning techniques and Python libraries for NLP. Text pre-processing techniques include tokenization, text normalization and data cleaning. Once in a standard format, various machine learning techniques can be applied to better understand the data. This includes using popular modeling techniques to classify emails as spam or not, or to score the sentiment of a tweet on Twitter. Newer, more complex techniques can also be used such as topic modeling, word embeddings or text generation with deep learning. We will walk through an example in Jupyter Notebook that goes through all of the steps of a text analysis project, using several NLP libraries in Python including NLTK, TextBlob, spaCy and gensim along with the standard machine learning libraries including pandas and scikit-learn. ## Setup Instructions [ https://github.com/adashofdata/nlp-in-python-tutorial](https://github.com/adashofdata/nlp-in-python-tutorial) === https://pyohio.org A FREE annual conference for anyone interested in Python in and around Ohio, the entire Midwest, maybe even the whole world.
Views: 16897 PyOhio
Text Mining
 
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Views: 17 fruk kap
Lexaytics User Group Conference - Seth Grimes on Text Analytics: Where We Are, Where We're Heading
 
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Seth Grimes of Alta Plana discusses the current state of Text Analytics, and what the future holds in store for us. http://www.lexalytics.com http://www.altaplana.com
Views: 151 Lexalytics
Directed Text Mining - Russ Stephenson - Part 1 of 2
 
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The presentation -Directed Text Mining- by Russ Stephenson given during the MapWindow Conference 2011 in San Diego, USA
Views: 108 MapWindow.nl
Text mining online data with scikit-learn by Robert Layton
 
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Text mining has a large variety of applications and is becoming used in more businesses for gathering intelligence and providing insight. People are sending text constantly online via social media, chat rooms and blogs. Tapping into this information can help businesses gain an advantage and is increasingly a necessary skill for data analytics. Text mining is a unique data mining problem, dealing with real world data that is often heavy on artefacts, difficult to model and challenging to properly manage. Text mining can be seen as a bit of a dark art that is difficult to learn and gain traction. However some basic strategies can often be applied to get good results quite quickly, and the same basic models appear in many text mining challenges. The scikit-learn project is a library of machine learning algorithms for the scientific python stack (numpy & scipy). It is known for having detailed documentation, a high quality of coding and a growing list of users worldwide. The documentation includes tutorials for learning machine learning as well as the library and is a great place to start for beginners wanting to learn data analytics. There is a strong focus on reusable components and useful algorithms, and the text mining sections of scikit-learn follow the “standard model” of text mining quite well. In this presentation, we will go through the scikit-learn project for machine learning and show how to use it for text mining applications. Real world data and applications will be used, including spam detection on Twitter, predicting the author of a program and determining a user's political bent based on their social media account. PyCon Australia is the national conference for users of the Python Programming Language. In August 2014, we're heading to Brisbane to bring together students, enthusiasts, and professionals with a love of Python from around Australia, and all around the World. August 1-5, Brisbane, Queensland, Australia
Views: 4284 PyCon Australia
2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP)
 
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2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), August 21-25, 2018, Lviv, Ukraine. Opening, Conference Hall, «Pivdennyi-EXPO».
Views: 681 Dsmp Conference
Text Analytics with R | How to Scrap Website Data for Text Analytics | Web Scrapping in R
 
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In this text analytics with R tutorial, I have talked about how you can scrap website data in R for doing the text analytics. This can automate the process of web analytics so that you are able to see when the new info is coming, you just run the R code and your analytics will be ready. Web scrapping in R is done by using the rvest package. Text analytics with R,how to scrap website data in R,web scraping in R,R web scraping,learn web scraping in R,how to get website data in R,how to fetch web data in R,web scraping with R,web scraping in R tutorial,web scraping in R analytics,web scraping in r rvest,web scraping and r,web scraping regex,web scraping facebook in r,r web scraping rvest,web scraping in R,web scraper with r,web scraping in r pdf,web scraping avec and r,web scraping and r
Prof. Lars Juhl Jensen - Pragmatic text mining: From literature to electronic health records
 
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“From Big Data to Smart Knowledge – Text and Data Mining in Science and Economy”, Conference in Cologne February 23 to 24 2015 www.textminingconference.de
What are the benefits of Text and Data Mining? - Monica Ihli
 
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Video recorded at the Workshop On mining Scientific Publications, 19th-23rd June at The University of Toronto, as a part of JCDL 2017 (Joint Conference on Digital Libraries).
Views: 197 OpenMinTeD
Minimal Semantic Units in Text Analysis
 
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Speaker: Jake Ryland Williams, Drexel University Presented on December 1, 2017, as part of the 2017 TextXD Conference (https://bids.berkeley.edu/events/textxd-conference) at the Berkeley Institute for Data Science (BIDS) (bids.berkeley.edu).
Social Impact Perspective: Bob Filbin | 2018 Wharton People Analytics Conference
 
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Bob Filbin, Chief Data Scientist of Crisis Text Line, leverages data analysis to save lives. In this presentation from the 2018 Wharton People Analytics Conference, he provides insights about how to use data to drive behavioral change. https://www.crisistextline.org/
Views: 405 Wharton School
Text mining highlight talk: ISMB 2014
 
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ISMB Highlight talk by Ashutosh Malhotra:Linking hypothetical patterns to disease molecular signatures in Alzheimer's disease
Views: 592 atmbio
PLOTCON 2016: Irene Ros, Text is data! Analysis and visualization methods
 
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Text is one of the most interesting and varied data sources on the web and beyond, but it is one of the most difficult to deal with because it is fundamentally a messy, fragmented, and unnormalized format. If you have ever wanted to analyze and visualize text, but don’t know where to get started, this talk is for you. Irene will go through examples of text visualization approaches and the analysis methods required to create them. Irene is an information visualization researcher and developer creating engaging, informative and interactive data-driven interfaces and visualizations. Irene's career in data and its visual forms started at The Visual Communication Lab @ IBM Research and now continues at Bocoup where she is the Director of the Data Visualization team. Irene is also the organizer and program co-chair of Bocoup's OpenVis Conf, a two day conference about the practice of data visualization on the open web.
Views: 3598 Plotly
Mining for Development Conference 2015
 
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Welcome to the Mining for Development Conference 2015 The Conference will celebrate participants’ goals and achievements in creating effective partnerships, enabling environments, and practical ‘on-the-ground’ solutions to deliver long-term inclusive benefits from mining to developing countries and their communities. A highlight of the Mining for Development Alumni Forum and Conference 2015 will be the coming together of government ministers, mining executives, international agencies and leaders of mining and development policy across the developing world to share their knowledge and experiences. It will provide a platform to engage with key influencers and world leaders to address the theme of the Conference and Alumni Forum: Shared goals – realising benefits. Visit m4dconference.im4dc.org for more details. Hashtag: #M4D2015 #IM4DC
Views: 7254 MEfDA and IM4DC
Multilingual Text Mining: Lost in Translation, Found in Native Language Mining - Rohini Srihari
 
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There has been a meteoric rise in the amount of multilingual content on the web. This is primarily due to social media sites such as Facebook, and Twitter, as well as blogs, discussion forums, and reader responses to articles on traditional news sites. Language usage statistics indicate that Chinese is a very close second to English, and could overtake it to become the dominant language on the web. It is also interesting to see the explosive growth in languages such as Arabic. The availability of this content warrants a discussion on how such information can be effectively utilized. Such data can be mined for many purposes including business-related competitive insight, e-commerce, as well as citizen response to current issues. This talk will begin with motivations for multilingual text mining, including commercial and societal applications, digital humanities applications such as semi-automated curation of online discussion forums, and lastly, government applications, where the value proposition (benefits, costs and value) is different, but equally compelling. There are several issues to be touched upon, beginning with the need for processing native language, as opposed to using machine translated text. In tasks such as sentiment or behaviour analysis, it can certainly be argued that a lot is lost in translation, since these depend on subtle nuances in language usage. On the other hand, processing native language is challenging, since it requires a multitude of linguistic resources such as lexicons, grammars, translation dictionaries, and annotated data. This is especially true for "resourceMpoor languages" such as Urdu, and Somali, languages spoken in parts of the world where there is considerable focus nowadays. The availability of content such as multilingual Wikipedia provides an opportunity to automatically generate needed resources, and explore alternate techniques for language processing. The rise of multilingual social media also leads to interesting developments such as code mixing, and code switching giving birth to "new" languages such as Hinglish, Urdish and Spanglish! This phenomena exhibits both pros and cons, in addition to posing difficult challenges to automatic natural language processing. But there is also an opportunity to use crowd-sourcing to preserve languages and dialects that are gradually becoming extinct. It is worthwhile to explore frameworks for facilitating such efforts, which are currently very ad hoc. In summary, the availability of multilingual data provides new opportunities in a variety of applications, and effective mining could lead to better cross-cultural communication. Questions Addressed (i) Motivation for mining multilingual text. (ii) The need for processing native language (vs. machine translated text). (iii) Multilingual Social Media: challenges and opportunities, e.g., preserving languages and dialects.
Views: 1453 UA German Department
Ulrich Korwitz - Conference Opening and Welcome Notes
 
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“From Big Data to Smart Knowledge – Text and Data Mining in Science and Economy”, Conference in Cologne February 23 to 24 2015 www.textminingconference.de
Tips, Tricks and Topics in Text Analysis - Bhargav Srinivasa Desikan
 
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PyData LA 2018 Not only is there an abundance of textual data, there is also an abundance of tools help analyse this data - and it is tough to choose the right tool for the right task. In this workshop we will be dealing with the entire text analysis process - this means we'll start with finding data, set up a pipeline to clean our text, annotate it, and then have it ready to do some more advanced analysis. Repo - https://github.com/bhargavvader/personal/tree/master/notebooks/text_analysis_tutorial --- www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 738 PyData
Jakob Zeitler, Travis Coan, "Text-Mining the Signals of Climate Change Doubt"
 
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Jakob Zeitler, Travis Coan "Text-Mining the Signals of Climate Change Doubt" University of Exeter CompSust-2016 Computational Sustainability conference July 7, 3:30 PM at Cornell University​ Lightning talk in the Machine and Statistical Learning for Conservation, Poverty, Energy, and Climate session
Views: 203 CompSustNet
Andrew Clifford: Source Text Analysis - Multi-Languages Annual Conference 2011
 
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The first step we take in the translation process is to make our way through the source text. Some have called this initial venture the "Trial of the Foreign", a kind of metaphorical journey into the world of the other. But how do we know if we're ready for this journey? How can we be sure whether we have the tools to fully understand and analyze what we find there? This presentation will encourage you to assess your own state of readiness at three levels: 1) at the micro-level, where the specific stylistic tendencies of the source language may surprise us; 2) at the meso-level, where text types and purposes are not always what we expect; and 3) at the macro-level, where cultural phenomena and references to unfamiliar realities may cause problems. For each level, you'll be asked to engage in practical exercises, and tips and strategies will be discussed so that you can work on your own personalized toolkit for source text analysis.
New Wine - Hillsong Worship
 
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'New Wine' from our new album, "There Is More". Order the album: http://hllsng.co/thereismore?IQid=youtube.descriptions Subscribe to our YouTube channel: http://smarturl.it/HillsongWorshipSub Stay connected: http://www.facebook.com/hillsongworship http://twitter.com/hillsongworship http://instagram.com/hillsongworship http://hillsong.com/worship VERSE 1: In the crushing In the pressing You are making new wine In the soil I now surrender You are breaking new ground PRE-CHORUS: So I yield to You and to Your careful hand When I trust You I don’t need to understand CHORUS: Make me Your vessel Make me an offering Make me whatever You want me to be I came here with nothing But all You have given me Jesus bring new wine out of me VERSE 2: In the crushing In the pressing You are making new wine In the soil I now surrender You are breaking new ground VERSE TAG: You are breaking new ground BRIDGE: Where there is new wine There is new power There is new freedom The Kingdom is here I lay down my old flames To carry Your new fire today Words and Music by Brooke Ligertwood © 2017 Hillsong Music Publishing CCLI: 7102397
Views: 29257936 Hillsong Worship
Tricks, tips and topics in Text Analysis - Bhargav Srinivasa Desikan
 
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PyData Amsterdam 2018 There is an abundance of easily mineable text data (Whatsapp, twitter, and even our own e-mails!), and we have no excuse to not analyse it. In this workshop, we will learn some tips and tricks to deal with messy text data, before moving on to some lesser looked at text analysis techniques, such as text summarisation, working with distance metrics, and an old personal favorite - topic models. Slides: https://github.com/bhargavvader/personal/tree/master/notebooks/text_analysis_tutorial -- www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 1319 PyData
Lexalytics User Group - Seth Grimes: Converging Silos of Text Analysis
 
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Seth Grimes is an analytics strategist with Washington DC based Alta Plana Corporation. He is contributing editor at TechWeb's InformationWeek, founding chair of the Text Analytics Summit, Sentiment Analysis Symposium, and Smart Content conference, and text analytics channel expert for TechTarget's BeyeNETWORK.com. He is the leading industry analyst covering text analytics. Seth consults, writes, and speaks on business intelligence, data management and analysis systems, text mining, visualization, and related topics.
Views: 115 Lexalytics
Why You Should Do Text Analysis in Python (Even if You Don't Want to) - Bhargav Srinivasa Desikan
 
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PyData LA 2018 The explosion in Artificial Intelligence and Machine Learning is unprecedented now - and text analysis is likely the most easily accessible and understandable part of this. And with python, it is crazy easy to do this - python has been used as a parsing language forever, and with the rich set of NLP, ML and Computational Linguistic tools, it's worth doing text analysis even if you don't want to. --- www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 941 PyData