  It is very current in today life to seek for tracking the people opinion from
their interaction with occurring events. A very common way to do that is
comments in articles published in newspapers web sites dealing with
contemporary events. Sentiment analysis or opinion mining is an emergent field
who is the purpose is finding the behind phenomenon masked in opinionated
texts. We are interested in our work by comments in Algerian newspaper
websites. For this end, two corpora were used SANA and OCA. SANA corpus is
created by collection of comments from three Algerian newspapers, and annotated
by two Algerian Arabic native speakers, while OCA is a freely available corpus
for sentiment analysis. For the classification we adopt Supports vector
machines, naive Bayes and knearest neighbors. Obtained results are very
promising and show the different effects of stemming in such domain, also
knearest neighbors give important improvement comparing to other classifiers
unlike similar works where SVM is the most dominant. From this study we observe
the importance of dedicated resources and methods the newspaper comments
sentiment analysis which we look forward in future works.
