Abstract
Opinion mining is an interesting area of research because of its wide applications in the decision-making process. Opinion mining aims to extract user’s perception from the text and to create a fast and accurate summary of people’s opinion about anything. In this study, we have worked on opinion target identification and the impact of anaphora resolution on opinion target extraction. Anaphora resolution can be utilized to detect opinion target in sentences having prepositions instead of nouns. We empirically evaluated the impact of anaphora resolution using benchmark datasets. We have achieved accuracy such as precision: 88.14 recall: 71.45 and f-score: 72.12, respectively.
Highlights
Opinion is a personal view, statement, or judgment of an individual about something [1]
We propose an enhancement of the semanticbased likelihood ratio test technique derived from [18] by anaphora resolution
Time of research process to assure the validity of the results
Summary
Opinion is a personal view, statement, or judgment of an individual about something [1]. People’s view, knowledge, experience play an important role in human guidance and decision making [2]. Identification of each component from free text is a challenging task [3], [4]. This study is about opinion target identification. OM attempts to find the evaluative perspective of natural language context [9]. The evaluative expression represents a source, an attitude, and a target or destination. In the sentence 'I disliked the rooms of the hotel, they were not well decorated', the speaker (the source) communicates a negative behavior regarding 'the rooms of a hotel' (the Target) [3]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
