Exploring Word2vec Embedding for Sentiment Analysis of Bangla Raw and Romanized Text-Reference-Cited by-同舟云学术

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Exploring Word2vec Embedding for Sentiment Analysis of Bangla Raw and Romanized Text

Published:2023 Issue: Volume: Page:677-691
ISSN:2367-3370
Container-title:Proceedings of International Conference on Data Science and Applications
language:
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Author:

Zim Sumaiya Kashmin,Ashraf Fardeen,Iqbal Tasnia,Islam Md. Adnanul,Polok Isbat Khan,Ahmed Lopa,Rahman Md. Mahbubur,Mukta Md. Saddam Hossain

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-6634-7_48

Reference22 articles.

1. Cambria E, Das D, Bandyopadhyay S, Feraco A (2017) Affective computing and sentiment analysis. In: A practical guide to sentiment analysis. Springer International Publishing, Cham, pp 1–10

2. Can U, Alatas B (2019) A new direction in social network analysis: online social network analysis problems and applications. Physica A 535:122372

3. Islam MA, Anik MSH, Islam ABMAA (2022) An enhanced RBMT: when RBMT outperforms modern data-driven translators. IETE Tech Rev 1–12

4. Islam MA, Anik MSH, Islam ABMAA (2021) Towards achieving a delicate blending between rule-based translator and neural machine translator. Neural Comput Appl 33(18):12141–12167

5. What are the top 200 most spoken languages? https://www.ethnologue.com/guides/ethnologue200. October 2018. Accessed 31 Jan 2022

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1. A Hybrid CNN-LSTM Approach for Sentiment Analysis;Lecture Notes in Networks and Systems;2024

2. Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis;Journal of Intelligent Information Systems;2023-09-15

3. JCF: joint coarse- and fine-grained similarity comparison for plagiarism detection based on NLP;The Journal of Supercomputing;2023-06-24

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