Update of my work to the Complex Networks class at Florida Institute of Technology teached by Doctor Ronaldo Menezes. Searching for tools and reading articles to write my own article on the Topic of Sentiment Analysis using twitter data.
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.