Analysis of Text Classification of Dataset Using NB-Classifier
| International Journal of Computer Science and Engineering |
| © 2020 by SSRG - IJCSE Journal |
| Volume 7 Issue 6 |
| Year of Publication : 2020 |
| Authors : Asif Ansari , Sreenarayanan NM |
10.14445/23488387/IJCSE-V7I6P107
How to Cite?
Asif Ansari , Sreenarayanan NM, "Analysis of Text Classification of Dataset Using NB-Classifier," SSRG International Journal of Computer Science and Engineering , vol. 7, no. 6, pp. 24-28, 2020. Crossref, https://doi.org/10.14445/23488387/IJCSE-V7I6P107
Abstract:
This is period of Modernization, when we need to purchase something we generally think about the authentic and prominence of the item. Be that as it may, the notoriety of the item relies on the audit which is given by the individuals. For instance once film discharged, we check the notoriety of the film through the audits, remarks and rating which is given by various individuals. These audits assume a significant job for the film and the business and furthermore for exposure.
In this bustling life individuals don't have part of time to experience every single surveys. Also, now nostalgic investigation assumes a significant job. This is fundamentally the way toward arranging the estimations or assessments of the individuals. In notion investigation there are just two choices constructive and contrary which makes individuals to like or abhorrence the film or anything, Individuals will as of now post their surveys of item
at business destinations about the items. Presently in the event that anybody needs to purchase an item, one is essentially simply experience the audits,
appraisals and one settle on the choice effectively .In this paper Naives Bayes classifier use to play out the nostalgic examination. To play out the procedure AI calculation use to reach to the methodologies. For that Highlights determination improves the presentation of estimation order, so we need to choose increasingly more element for exact grouping. So Naives Bayes characterization performs preferred and quick over other grouping
techniques.
Keywords:
text classification; NB Classification Algorithm; Feature Extraction; Classification of Text.
References:
[1] Shruti Kohli, Himani Singal, “Data Analysis with R”, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing
[2] Singh, V. K., etal. "Sentimental analysis of reviews of movies: “A new feature based heuristic for aspect-level sentiment classification.” Automation Computing, Communication, controland compressed Sensing (iMac4s), international Multi Conference on. IEEE-2013.
[3] Ambily Balaram "Fuzzy Feature Clustering for Text Classification Using Sequence Classifier "International Journal of Computer Trends and Technology (IJCTT),V4(7), 2013
[4] Radulescu, C., Dinsoreanu, M., and Potolea, R., “Identification of spam comments usingnatural language processing techniques”, Intelligent Computer
Communication and Processing(ICCP),
[5] Martin Wöllmer Technical University of Munich, Germany “YouTube movie reviews- Sentiment analysis in an audiovisual”, IEEE Computer Society,
[6] Liu, B., “Sentiment Analysis: A Multi-Faceted Problem”, IEEE Intelligent Systems, 2010.
[7] Celikyilmaz, D. Hakkani-Tur and J. Feng, 'Probabilistic Model-Based Sentiment Analysis of Twitter Messages', Spoken Language Technology Workshop (SLT), 2010 IEEE, vol. 7984, 2010.
[8] Xinjie Zhou, Xiaojun Wan, and Jianguo Xiao, “CMiner: Opinion Extraction and Summarization for Chinese Microblogs”, ieee transactions on knowledge and ta engineering, VOL. 28, july 2016.