International Journal of Modern Education and Computer Science (IJMECS)
IJMECS Vol. 8, No. 11, 8 Nov. 2016
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Review Length Aware Hybrid Approach to Sentiment Analysis
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Author(s)
Babaljeet Kaur
1,*
Naveen Kumari
1
Index Terms
Sentiment Analysis, SuperFetch Reviews, Support Vector Machine, K-Nearest Neighbor
Abstract
Sentiment analysis is a popular research problem to find out within the natural language processing that is dealing with identifying the sentiments or mood of people’s towards elements such as product, text, services and the technology. However, there are few researches conducted on the sentiment analysis of technical article review, so to overcome this deficiency conducts the sentiment analysis over the technical article review and classifying the sentence by overall sentiments that is representing the review is positive or negative. The paper presents the combination of SVM and KNN and find out how much given article sound technically good. The proposed technique is compared with other existing techniques and results shows that the proposed technique is better as compared to the other technique.
Cite This Paper
Babaljeet Kaur, Naveen Kumari, "Review Length Aware Hybrid Approach to Sentiment Analysis", International Journal of Modern Education and Computer Science(IJMECS), Vol.8, No.11, pp.58-64, 2016. DOI:10.5815/ijmecs.2016.11.08
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