Natural language processing technique for sentiment analysis

Tan, Zhen Yee (2016) Natural language processing technique for sentiment analysis. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Internet is getting useful in 21th century, so there are lots of user in the Internet. Most of the users will leave their comments in the net to express their emotion through words and emoticon in the social media like Twitter. Twitter is a kind of social media that are famous among Malaysians, therefore sentiment analysis research is carry out for some of the Malay version of tweet. Sentiment analysis is a kind of process for determining a particular words in to positive, neutral, and negative where it is widely used for deriving the opinion from social media such as Twitter. Most of the sentiment analysis is done for the use in the marketing area to know the review of customer. Therefore, the aim of doing sentiment analysis research is to differentiate the comment of tweet into three categories which are positive, neutral and negative. The Natural Language Processing (NLP) is used to identify the sentiment. The technique used is identifying sentiment by calculating the numbers of combination of word categories such as noun, adjective, adverb and verb. The data pre-processing is needed before using the NLP technique. After the experiment, the accuracy of the technique will be measured.

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