A Thorough Investigation of Conventional and Advanced Feature Extraction Methods in Natural Language Processing for Sentiment Analysis Employing SVM Kernels

Author:

Srivastava AnimaORCID,Srivastava Amit Kumar,Siddiqui T. J.

Publisher

Springer Nature Singapore

Reference20 articles.

1. Ravinder A, Chug A, Kohli S, Gupta S, Ahuja P (2019) The impact of features extraction on the sentiment analysis. Procedia Comput Sci 152:341–348

2. Congcong W, Nulty P, Lillis D (2020) A comparative study on word embeddings in deep learning for text classification. In: Proceedings of the 4th international conference on natural language processing and information retrieval, pp 37–46

3. Sumandeep K, Sikka G, Kumar Awasthi L (2018) Sentiment analysis approach based on N-gram and KNN classifier. In: 2018 first international conference on secure cyber computing and communication (ICSCCC). IEEE, pp 1–4

4. Shoffan S, Dreżewski R, Dwiyanto FA, Aribowo AS, Fauziah Y (2023) Sentiment analysis using machine learning approach based on feature extraction for anxiety detection. In: International conference on computational science. Springer Nature Switzerland, Cham, pp 365–372

5. Long TK, Lee CP, Lim KM (2023) A survey of sentiment analysis: approaches, datasets, and future research. Appl Sci 13(7):4550

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