Author:
Prapty Aroni Saha,Hasan K. M. Azharul
Publisher
Springer Nature Singapore
Reference16 articles.
1. Ritu ZS, Nowshin N, Nahid MMH, Ismail S (2018) Performance analysis of different word embedding models on Bangla language. In: International conference on Bangla speech and language processing (ICBSLP), pp 1–5
2. Thavareesan S, Mahesan S (2020) Sentiment Lexicon expansion using Word2vec and FastText for sentiment prediction in Tamil texts. In: Moratuwa engineering research conference (MERCon), pp 272–276
3. Pham D-H, Le A-C (2018) Exploiting multiple word embeddings and one-hot character vectors for aspect-based sentiment analysis. Int J Approximate Reasoning 103:1–10
4. Introduction to word embedding and Word2Vec [Online]. Available at: www.towardsdatascience.com. Accessed on: 5th July 2022
5. Mojumder P, Hasan M, Hossain F, Hasan KM (2020) A study of fastText word embedding effects in document classification in Bangla language. In: International conference on cyber security and computer science. LNICST, vol 325, pp 1–13