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Sentiment Analysis 
Searching Tools and reading articles
Looking for the best tools 
I am currently studying some tools for sentiment analysis and reading some 
articles about it. 
I found a way to use the Natural Language Tool Kit (NLTK) with python to 
analyse twitter data but the methodology has to be studied in order to do the 
best choice. 
http://www.laurentluce.com/posts/twitter-sentiment-analysis-using-python-and-nltk/ 
Another tool which works by examining individual words and short sequences 
of words (n-grams) and comparing them with a probability model was found 
too. 
http://sentiment.vivekn.com/about/
Programming 
I am currently getting the informations about the users and building the 
network. After it I’ll get some tweets posted by this users to use to compare with 
the collected ones. 
I am now analysing the tools to perform the sentiment analysis on the tweets.
Reading some articles 
Pang, B., & Lee, L. (2008). Opinion Mining And Sentiment Analysis. Foundations and Trends® in Information Retrieval, 
1-135. Retrieved October 24, 2014. (http://www.cs.cornell.edu/home/llee/omsa/omsa-published.pdf) 
Agarwal, A., Xie, B., Vovsha, I., Rambow, O., & Passonneau, R. (2011). Sentiment Analysis of Twitter Data. Retrieved 
October 20, 2014. (http://hnk.ffzg.hr/bibl/acl2011/LSM/LSM-2011.pdf#page=40 ) 
Pak, A., & Paroubek, P. (2010, May). Twitter as a Corpus for Sentiment Analysis and Opinion Mining. In LREC.

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Complex networks - Update

  • 1. Sentiment Analysis Searching Tools and reading articles
  • 2. Looking for the best tools I am currently studying some tools for sentiment analysis and reading some articles about it. I found a way to use the Natural Language Tool Kit (NLTK) with python to analyse twitter data but the methodology has to be studied in order to do the best choice. http://www.laurentluce.com/posts/twitter-sentiment-analysis-using-python-and-nltk/ Another tool which works by examining individual words and short sequences of words (n-grams) and comparing them with a probability model was found too. http://sentiment.vivekn.com/about/
  • 3. Programming I am currently getting the informations about the users and building the network. After it I’ll get some tweets posted by this users to use to compare with the collected ones. I am now analysing the tools to perform the sentiment analysis on the tweets.
  • 4. Reading some articles Pang, B., & Lee, L. (2008). Opinion Mining And Sentiment Analysis. Foundations and Trends® in Information Retrieval, 1-135. Retrieved October 24, 2014. (http://www.cs.cornell.edu/home/llee/omsa/omsa-published.pdf) Agarwal, A., Xie, B., Vovsha, I., Rambow, O., & Passonneau, R. (2011). Sentiment Analysis of Twitter Data. Retrieved October 20, 2014. (http://hnk.ffzg.hr/bibl/acl2011/LSM/LSM-2011.pdf#page=40 ) Pak, A., & Paroubek, P. (2010, May). Twitter as a Corpus for Sentiment Analysis and Opinion Mining. In LREC.