Unsupervised Sentiment Analysis

Question

I\'ve been reading a lot of articles that explain the need for an initial set of texts that are classified as either \'positive\' or \'negative\' before a sentiment analysis

Answer 1

I tried spotting keywords using a dictionary of affect to predict the sentiment label at sentence level. Given the generality of the vocabulary (non domain dependent), the results were just about 61%. The paper is available in my homepage.

In a somewhat improved version, negation adverbs were considered. The whole system, named EmoLib, is available for demo:

http://dtminredis.housing.salle.url.edu:8080/EmoLib/

Regards,