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  Published Paper Details:

  Paper Title

OPINION MINING ON SENTIMENT ANALYSIS : A COMPREHENSIVE MIRROR REFLECTION ON PEOPLE THOUGHTS

  Authors

  VEDANTHARAJAGOPAL S,  Dr Babu s

  Keywords

Bayesian Network (BN), K-NN (K Nearest Neighbor), Machine Learning (ML), Maximum Entropy (ME), Multilayer Neural Networks (MNN), Na�ve Bayes (NB), Natural Language Processing (NLP), Neural Networks (NN), Opining Mining (OM), Pointwise Mutual Information (PMI), Sentiment Analysis (SA), Sentiment Orientation (SO), Support Vector Machines (SVM).

  Abstract


During an affective decission making it has been an important point of curiosity to know the thoughts of others.Decisions made by either an individual or at organization levels are always accomplished by opinion of others� for the same. Opinions and sentiments can be studied and constructed well with the help of high-quality opinion mining and sentiment analysis formulation. A rich compendium of sentiments can be obtained through exponential grown opinion resources such as discussion forums, public reviews, micro to macro blogs, Facebook, WhatsApp, Telegram, Twitter, LinkedIn and many more. Sharing opinion in public became a craze among today�s generation. For an enhancement of services and products such feedbacks become crucial either for an individual or for organizations. Opinion mining helps in analyzing these huge collected reviews. In order to make the reviews easily understood by the users, these collected reviews are distinguished upon the emotions which are being expressed by the users, classification between them into negative and positive are carried out. Opinion mining is the most buzzed technical word in the trending technology which is attracting many researchers in order to solve the challenges which are being faced in it. In order to trace out the best in an item in terms of feature and quality can by achieve by effective sentiment tools and opinion mining. In this research paper a complete overview of opinion mining in sentiment analysis has been carried out along with the comparative approaches usingrecent methodologies, certain challenges which need to be addressed in this regard are also highlighted.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2009265

  Paper ID - 198805

  Page Number(s) - 2074-2084

  Pubished in - Volume 8 | Issue 9 | September 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  VEDANTHARAJAGOPAL S,  Dr Babu s,   "OPINION MINING ON SENTIMENT ANALYSIS : A COMPREHENSIVE MIRROR REFLECTION ON PEOPLE THOUGHTS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 9, pp.2074-2084, September 2020, Available at :http://www.ijcrt.org/papers/IJCRT2009265.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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