Sentiment Analysis of Bengali Facebook Data Using Classical and Deep Learning Approaches-Reference-Cited by-同舟云学术

Sentiment Analysis of Bengali Facebook Data Using Classical and Deep Learning Approaches

Published:2021-12-16 Issue: Volume: Page:209-218
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Chakraborty Partha^ORCID,Nawar Farah,Chowdhury Humayra Afrin

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-7076-3_19

Reference17 articles.

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3. Boia M, Faltings B, Musat C-C, Pu P (2013) A:) is worth a thousand words: how people attach sentiment to emoticons and words in tweets. In: 2013 International conference on social computing. IEEE, pp 345–350

4. Faruque MA, Rahman S, Chakraborty P, Choudhury T, Um J-S, Singh TP (2021) Ascertaining polarity of public opinions on Bangladesh cricket using machine learning techniques. Spatial Inf Res 1–8

5. Haque F, Manik MMH, Hashem MMA (2019) Opinion mining from Bangla and phonetic Bangla reviews using vectorization methods. In: 2019 4th International conference on electrical information and communication technology (EICT). IEEE, pp 1–6

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