See the similar thread: https://www.researchgate.net/post/Available_tools_for_text_mining_NLP_and_sentiment_analysis2

You can do sentiment analysis on text documents with WordStat: http://provalisresearch.com/products/content-analysis-software/wordstat-dictionary/sentiment-dictionaries/

As far as articles go, you should probably read Taboada, M., J. Brooke, M. Tofiloski, K. Voll and M. Stede (2011) Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics 37 (2): 267-307.

Taboada, M., J. Brooke and M. Stede (2009) Genre-Based Paragraph Classification for Sentiment Analysis. In Proceedings of 10th Annual SIGDIAL Conference on Discourse and Dialogue. London, UK. September 2009. pp. 62-70.

Also, here's an article by Sida Wang and Christopher Manning: http://nlp.stanford.edu/pubs/sidaw12_simple_sentiment.pdf

I created Umigon (http://www.umigon.com) for Twitter text. Free to use and export to Excel or csv available.

you can use EasywebExtract tool

http://webextract.net/