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Subjectivity analysis recognizes the contextual polarity of opinions, attitudes, emotions, feelings etc. regarding products, services, topics, or issues. Subjectivity classification categorizes the given text as subjective or objective. While an objective text contains one or more facts about a product or an issue, a subjective text expresses author's opinions. Statistical analysis shows that subjectivity...
Opinion mining, as a sub-field of text mining, analyzes opinions expressed regarding an object, a topic, or an issue. An opinion is expressed by a person using some opinion terms or phrases regarding a target. Statistical studies show that the affective factors on opinions in product domains are different from those in social domains. Opinion verbs and ``I" have the most affective influences...
Sentiment analysis refers to a broad range of fields of natural language processing, computational linguistics, and text mining. Sentiment classification of reviews and comments has emerged as the most useful application in the area of sentiment analysis. Bag of words and feature based sentiment are the most popular approaches used by researchers to deal with sentiment analysis of opinions about products...
Sentiment analysis refers to a broad range of fields of natural language processing, computational linguistics and text mining. Sentiment classification of reviews and comments has emerged as the most useful application in the area of sentiment analysis. Although sentiment classification generally is carried out at the document level, accurate results require analysis at the sentence level. Bag of...
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