Sentiment analysis (also known as opinion mining) is an active research area in natural
language processing. It aims at identifying, extracting and organizing sentiments from user …

In many companies, product management struggles in getting accurate customer feedback.
Often, validation and confirmation of functionality with customers takes place only after the …

There is a new generation of emoticons, called emojis, that is increasingly being used in
mobile communications and social media. In the past two years, over ten billion emojis were …

This paper covers the two approaches for sentiment analysis: i) lexicon based method; ii)
machine learning method. We describe several techniques to implement these approaches …

Emoticons (eg,:) and:() have been widely used in sentiment analysis and other NLP tasks as
features to machine learning algorithms or as entries of sentiment lexicons. In this paper, we …

Emoticons have been widely employed to express different types of moods, emotions, and
feelings in microblog environments. They are therefore regarded as one of the most …

With people increasingly using emoticons in written text on the Web in order to ex-press,
stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to …

In this paper, we propose a joint segmentation and classification framework for sentence-
level sentiment classification. It is widely recognized that phrasal information is crucial for …

This study examines destination image (DI) formation through user-generated web contents.
Recently, web contents developed by peers have become one of the most popular …

We present a statistical parsing framework for sentence-level sentiment classification in this
article. Unlike previous works that use syntactic parsing results for sentiment analysis, we …