An Algorithm for Mobile Computing Opinion Mining In Multilingual Forms By Voice and Text Processing
Keywords:
Opinion Mining , Supervised Mobile Computing, Polarity, Sentiment, NLPAbstract
Human behaviour always keep concern what other’s people think about on specific subject like any product, any political party, any scheme of government etc. it might be important in various decision making process. In the era of 4G/5G internet technology and high use of electronic devices, it is easy to express individual feelings over the cloud or World Wide Web. Due to high amount of unstructured information over the internet, it is very challenging for an individual to take correct decision in concern subject or domain. Opinion mining on internet is helpful to both the party i.e. domain user and domain or service provider. In opinion mining user can get the knowledge or idea of given domain review. On other side service provider can get proper analysis on given review and can get the feedback from general public. If review is negative then service provider may try to remove bottlenecks in a given domain and develop their functionality. In this paper a model of opinion mining using mobile computing is proposed and implemented. It takes opinion in multilingual form and mines the sentence level opinion and tells whether opinion is positive, negative or neutral.
References
- Debnath Bhattacharyya, Susmita Biswas, Tai-hoon Kim "A Review on Natural Language Processing in Opinion Mining".
- Nayan S. Patel ,Dr. Dipti B. Shah ,Dr. H. B. Bhadka3 "Design of Opinion Mining Model for Opinions Review on World Wide Web".
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- Vrinda and Dr. Komal Kumar Bhatia "Opinion Mining using Na?ve Bayes Classifier".
- Chris Nicholls, Fei song "improving sentiment analysis with part of speech weighting", 2009 IEEE.
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