A Review on Sentimental Analysis of Application Reviews
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 6
Abstract
As with rapid evolution of computer technology and smart phones mobile applications become very important part of our life. It is very difficult for customers to keep track of different applications reviews so sentimental analysis is used. Sentimental analysis is effective and efficient evolution of customer’s opinion in real time. Sentimental analysis for applications review is performed two approaches statistical model based approaches and Natural Language Processing (NLP) based approaches to create rules. Two schemes used for analyzing the textual comments- aspect level sentimental analysis analyses the text and provide a label on each aspect then scores on multiple aspects are aggregated and result for reviews shown in graphs. Second scheme is document level analyses which comprising of adjectives, adverbs and verbs and n-gram feature extraction. I have also used our SentiWordNet scheme to compute the document-level sentiment for each movie reviewed and compared the results with results obtained using Alchemy API. The sentiment profile of a movie is also compared with the document-level sentiment result. The results obtained show that my scheme produces a more accurate and focused sentiment profile than the simple document-level sentiment analysis.
Authors and Affiliations
Amandeep Kaur, Er. Nidhi Gumber
Keywords
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