Abstract:
Mining opinions and sentiments from
natural language is challenging, because it
requires a deep understanding of the explicit and
implicit, regular and irregular, and syntactical
and semantic language rules. Sentiment analysis
actually focuses on polarity detection and emotion
recognition, respectively. Sentiment keywords are
best determined automatically which SentiWord
Net for the most part does. SinceSentiWordNet
outputs sentiment value, it is easy to classify the
degree of sentiment. This paper proposes opinion
mining applied on hotel reviews data using
SentiWordNet. In this system, users can search the
opinions for each hotel according to positive and
negative senses with respect to Sentiment
Analysis. Then, these analyzed results are
summarized by using keywords.
