International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

Impact Factor* - 6.2311


**Need Help in Content editing, Data Analysis.

Research Gateway

Adv For Editing Content

   No of Download : 63    Submit Your Rating     Cite This   Download        Certificate

A SURVEY ON MULTILINGUAL SENTIMENT MINING: PROCESSING, CHALLENGES AND MODEL IMPLEMENTATION

    2 Author(s):  MOUMITA PAL , RAJESH PRASAD

Vol -  13, Issue- 6 ,         Page(s) : 88 - 95  (2022 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Sentiment analysis is the process in which the emotion is determined stating whether the given word sentence, paragraph or context inclines towards positive, negative or neutral. Material for sentimental words can be about reviews of hotels, products or comparative analysis of books, studies, events, etc. As years passed, internet evolved in the form of web pages, networking sites, blogging sites and other portals, the generation of opinions, evaluations, product recommendations, product ratings, and consumer feedback increased by writers, critics and consumers. A more apt technique for the estimation of sentiments could permit us to feature out critiques from the internet and what are the expectations of customer’s preferences. Sentiment evaluation is a rapidly growing area but it isn’t without numerous challenges in the analysis and assessment process of sentiment evaluation. The crucial contribution of this survey paper includes the various complex categorizations of huge number of new articles and the demonstration of the ongoing trend of research in Sentiment Analysis and its related areas.

Hassan, Asif & Amin, Mohammad & Azad, Abul& Mohammed, Nabeel. (2016). Sentiment analysis on bangla and romanized bangla text using deep recurrent models.51-56. 10.1109/IWCI.2016.7860338
Banik, Nayan & Rahman, Md & Chakraborty, Shima & Seddiqui, Hanif & Azim, Muhammad. (2019). Survey on Text-Based Sentiment Analysis of Bengali Language. 1-6. 10.1109/ICASERT.2019.8934481
S. Sazzed and S. Jayarathna, "A Sentiment Classification in Bengali and Machine Translated English Corpus" 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI), Los Angeles, CA, USA, 2019, pp. 107-114, doi: 10.1109/IRI.2019.00029

*Contents are provided by Authors of articles. Please contact us if you having any query.






Bank Details