AnalyticBridge

Social Network For Analytic Professionals

Text Mining

Information

Members: 117
Latest Activity: on Wednesday

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 6 Replies

Started by Sobhan Hota. Last reply by Sobhan Hota Jul 21, 2008.

List of Swear Words (Preferably English but I could use as many languages as possible) 4 Replies

Started by Michael Watson. Last reply by Michael Watson Mar 24, 2011.

Sentiment Dictionary 3 Replies

Started by Jeff. Last reply by Michael Watson Mar 24, 2011.

key sentence extraction 2 Replies

Started by Andy Adamiec. Last reply by Dave Lewis Oct 6, 2011.

Google offers database with 1,024,908,267,229 words 2 Replies

Started by Vincent Granville. Last reply by Vincent Granville Jan 25, 2009.

Call for Speakers: Association for Computing Machinery - Data Mining SIG 1 Reply

Started by Patricia Hoffman, Ph.D.. Last reply by timothy vogel Dec 9, 2010.

50 top related keywords for "Vincent Granville", found using the Yahoo keyword suggestion box 1 Reply

Started by Amy. Last reply by timothy vogel Oct 31, 2009.

Clustering with R - efficient processing of large sparse data sets (text data) 1 Reply

Started by Vincent Granville. Last reply by timothy vogel Oct 11, 2009.

Interesting blog on text mining, by the SAS Institute 1 Reply

Started by Vincent Granville. Last reply by timothy vogel Oct 4, 2009.

n-grams: permutation generators 1 Reply

Started by Vincent Granville. Last reply by Gene Leynes Sep 29, 2009.

Interesting text mining resource 1 Reply

Started by Amy. Last reply by Mehran Gomari Aug 5, 2009.

Text Mining Conferences 1 Reply

Started by Surya. Last reply by Vincent Granville Aug 3, 2008.

How to discover NEW Topics using Text Mining

Started by Deborah Deng Apr 18.

CrowdANALYTIX Contest: text mining of comments from guests of an international airport

Started by Divyabh Mishra Feb 22.

Opportunities for Data Scientist, candidates with expertise in 'R' with Symphony Services Gurgaon India. Pls contact shiney.purushothaman@symphonysv.com

Started by Shiney Purushothaman Jan 22.

2011 Semantic Technology Conference, San Francisco, June 5-9

Started by Vincent Granville May 18, 2011.

8th International Workshop on Natural Language Processing and Cognitive Science (August 20-21, Copenhagen)

Started by Titus May 2, 2011.

Good to Know - Text Mining and Sentemental Analysis

Started by Avinash Chamwad Apr 28, 2011.

Domain Categorization Dictionary

Started by AVSuresh Apr 1, 2011.

Call for Speakers: 2011 Sentiment Analysis Symposium

Started by Seth Grimes Dec 9, 2010.

View All

Comment Wall

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Comment by Michael Watson on March 24, 2011 at 12:45pm: @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.

http://www.gutenberg.org/ebooks/3202

Comment by Michael Watson on March 24, 2011 at 8:37am: 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...

Comment by Asad Ahmad on August 16, 2010 at 4:22am: hi friends,
where can I get list of synonyms of English words? Help me

Comment by Jeff on February 19, 2010 at 7:26am: 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?

Comment by Sobhan Hota on July 26, 2008 at 5:19am: 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.

Comment by Kirti Vashee on July 22, 2008 at 12:32pm: 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.

Comment by Mark Richards on April 26, 2008 at 1:53pm: Who's planning to attend the Text Analytics Summit?

http://www.textanalyticsnews.com/4thannual08/

Comment by Robin Gower on April 15, 2008 at 9:58am: 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...