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Sentiment Analysis

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SENTIMENT ANALYSIS: AN OVERVIEW ABSTRACT: In today’s state of affairs, information gathering has become a vital aspect of human behavior. We are always curious to know what others think about a particular thing. With the evolution in web technology, online shopping has become quite popular. It additionally provides a platform to share experiences and feedbacks associated with a selected product. The reviews on these sites reflect whether the product is good or bad and helps the potential customers to take the right decision. Sentiment analysis is a method using which information can be extracted from these reviews, analyzed and classified as positive, negative or neutral. Thus, the opinions gathered will facilitate to predict the online customer’s …show more content…

Due to the massive amount of customer feedbacks, opinions, reviews, comments and suggestions it is important to traverse, scrutinize and order the content for efficient and effective decision-making. In the last decade, sentiment analysis has emerged as one of the most popular techniques for information retrieval and web data analysis. Opinion mining can be defined as a sub-field of Computational Linguistics that emphasizes on obtaining people’s opinion from the web. Blogs, videos, social networking sites, etc platforms provide a huge amount of valuable information that can be analyzed. Given a piece of text, opinion mining systems examine: Which part is opinion revealing or …show more content…

In this approach, the polarity is calculated for each sentence as each sentence is considered as separate unit and each sentence can have different opinion. Sentence level sentiment analysis has two tasks: Subjectivity Classification A sentence can be either a subjective sentence or an objective sentence. Subjective sentences have opinion about the particular product and the opinions expressed in such sentences can be identified and classified easily. In the objective sentences, there is either no use or indirect use of sentiment words. Sentiments expressed in objective sentences are hard to identify and thus advanced algorithm is needed for the identification and classification purpose. Sentiment Classification Sentence can be classified as positive, negative or neutral depending on the opinion words present in it. The same document level classification methods can be applied to the sentence level classification method. The different sentiment classification methods have been discussed in the next section. Feature Level Sentiment

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