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Text Mining
Information
References
- Text Mining and its Applications to Intelligence, CRM and Knowledge Management (Advances in Management Information) - Alessandro Zanasi (Editor), WIT Press, 2007.
- Semisupervised Learning for Computational Linguistics - Steven Abney. Chapman & Hall / CRC, 2007.
- The Text Mining Handbook - Ronen Feldman, James Sanger. Cambridge University Press, 2007.
- Modern Information Retrieval - Ricardo Baeza-Yates, Berthier Ribeiro-Neto. Addison Wesley, 1999.
- Text Mining Application Programming - Manu Konchady. Thomson, 2006. [Book Review]
- WorldNet - Lexical database for the English language
- ETAS - The European Text Analytics Summit
- Automated User Feedback Analysis - Technical paper
- How Text Clustering Works - Non technical introduction
- Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections - Paper by Douglass Cutting, David Karger, Jan Pedersen and John Tukey (1992)
- Copyright and trademark infringement detection - Web crawling technology
- Correlated Search Queries - Text mining application to assess search results relevancy
- Cognition - Company specializing in query intelligence and keyword optimization (search engines)
- Inxight - Text mining, Linguistics, CRM, Law Enforcement
- Language Weaver - Company focusing on automated translations
- Temis - Develops and Markets Text Mining Solutions
- TextAnalysis - Text mining Company, creator of the VisualText software
- NacTeM - National Centre for Text Mining (UK)
- DMOZ - Text mining directory
- ACL - Association for Computational Linguistics
Discussion Forum
Automatic Feature Selection on a Natural Language Data
Started by Sobhan Hota. Last reply by Sobhan Hota Jul 21, 2008. 6 Replies 0 Likes
List of Swear Words (Preferably English but I could use as many languages as possible)
Started by Michael Watson. Last reply by Michael Watson Mar 24, 2011. 4 Replies 0 Likes
Sentiment Dictionary
Started by Jeff. Last reply by Michael Watson Mar 24, 2011. 3 Replies 0 Likes
Google offers database with 1,024,908,267,229 words
Started by Vincent Granville. Last reply by Vincent Granville Jan 25, 2009. 2 Replies 0 Likes
Sentiment Analysis and Opinion Mining
Started by Ram. Last reply by Seth Grimes Aug 22, 2012. 1 Reply 0 Likes
Call for Speakers: Association for Computing Machinery - Data Mining SIG
Started by Patricia Hoffman, Ph.D.. Last reply by timothy vogel Dec 9, 2010. 1 Reply 0 Likes
Clustering with R - efficient processing of large sparse data sets (text data)
Started by Vincent Granville. Last reply by timothy vogel Oct 11, 2009. 1 Reply 0 Likes
Interesting blog on text mining, by the SAS Institute
Started by Vincent Granville. Last reply by timothy vogel Oct 4, 2009. 1 Reply 0 Likes
n-grams: permutation generators
Started by Vincent Granville. Last reply by Gene Leynes Sep 29, 2009. 1 Reply 0 Likes
Text Mining Conferences
Started by Surya. Last reply by Vincent Granville Aug 3, 2008. 1 Reply 0 Likes
Opportunities for Data Scientist, candidates with expertise in 'R' with Symphony Services Gurgaon India. Pls contact [email protected]
Started by Shiney Purushothaman Jan 22, 2012. 0 Replies 0 Likes
2011 Semantic Technology Conference, San Francisco, June 5-9
Started by Vincent Granville May 18, 2011. 0 Replies 0 Likes
Comment Wall
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Comment by Robin Gower on April 15, 2008 at 9:58am
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So what software/ analytic approaches are people using for text mining?
My experience to date has been admittedly simplistic - flagging keywords in small text fields. I'm fascinated by the Autonomy approach which - as I understand/ recall - determines the meaning of paragraphs based upon the incidence of improbable words...
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Comment by Mark Richards on April 26, 2008 at 1:53pm
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Who's planning to attend the Text Analytics Summit?
http://www.textanalyticsnews.com/4thannual08/
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Comment by Kirti Vashee on July 22, 2008 at 12:32pm
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Text Analytics Conference in June 2008 in Boston
Does anybody have any feedback on this conference and perhaps even links to the more interesting presentations made at the conference.
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Comment by Sobhan Hota on July 26, 2008 at 5:19am
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I feel the following steps (high level) should give you a higher accuracy and obtaining relevant features in solving a text mining problem.
1. Corpus Creation
2. Feature sets generation from corpus or standard set
3. Vector Generation
4. Classification/Prediction model Selection
5. Tune parameters for better accuracy
6. Top features collection from output
Anything I missed, can you pl. suggest? or someone wants to add more.
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Comment by Jeff on February 19, 2010 at 7:26am
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Hi All-
I am looking for a publicly available list of term annotations for sentiment. I would like to find a list of positive, negative and neutral terms in English. Does anyone know of such a resource?
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Comment by Asad Ahmad on August 16, 2010 at 4:22am
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hi friends,
where can I get list of synonyms of English words? Help me
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Comment by Michael Watson on March 24, 2011 at 8:37am
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I am curious if anyone responded to Asad Ahmad's question about English synonyms? Does there actually exist a non-proprietary dataset of English synonyms? You could do some pretty cool stuff if there was...
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@Asad I found a list of synonyms of English words that is working out alright for me. It is just in text format but should workout alright.
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@Michael Thanks for the link :)
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I am a Consultant working for one of the Big Fours. The task that I have in my hand is to find out or mine the key feedback or key opinion from a collection of feedback document. I am looking forward to perform this task in R or Rapidminer. Can you please help me if there are any solutions for my task.
Thanks in advance!!
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