Assigning positive and negative polarity into Persian sentences is difficult task, there are
different approaches has been proposed in various languages such as English. However …

Abstract THE INCREASING GROWTH OF WEB HAS GIVEN PEOPLE THE ABILITY TO
SIMPLY EXPRESS THEIR OPINION AND KNOW OTHERS'OPINION. MINING VIEWPOINTS …

Many approaches to sentiment analysis benefit from polarity lexicons. Existing methods
proposed for building such lexicons can be grouped into two categories:(1) Lexicon based …

Sentiment analysis aims to extract the sentiment polarity of given segment of text. Polarity
resources that indicate the sentiment polarity of words are commonly used in different …

Many approaches to sentiment analysis benefit from polarity lexicons. Most polarity lexicons
include a list of polar (positive/negative) words, and sentiment analysis systems attempt to …

In recent times, sentiment analysis in low resourced languages and regional languages has
become emerging areas in natural language processing. Researchers are showing interest …

In this study, an automatic classification method based on the sentiment polarity of text is
proposed. This method uses two sentiment dictionaries from different sources: the Chinese …

The sentiment analysis task seeks to categorize opinionated documents as having overall
positive or negative opinions. This task is very important to understand unstructured text …

With the growing amount of information and availability of opinion-rich resources, it is
sometimes difficult for a common man to analyse what others think of. To analyse this …

Due to the rapid growth of web platforms such as blogs, discussion forums, peer-to-peer
networks, and various other types of social media, Sentiment Polarity Detection …