It's surprising that up today (07/05/2014), the search on internet of this information gives very few results¹⁾. Sentiment determination is critical for mining the user's opinion information. In today's age, with the vast use of social networks, the users opinion and their emotions (anger, hapiness) and their sentiment (positive or negative) is very important to detect how users react -by example- regarding a particular brand, political party or administration.

I am starting this page as a trial to get:

- a proper categorization of the words of the spanish dictionary …

a web crawler in java:

http://www.programcreek.com/2012/12/how-to-make-a-web-crawler-using-java/

I think that the process of some textual information will be:

1. De-abbreviate the sms language (salu2 → saludos, k → que, etc.)
2. Clean ortographic errors and typos
3. Entities detection (Barack Obama, New York, Microsoft…) names that are proper names
4. Detect the sentiment of the text