Rule-Based Recognition of Associated Entities in Hindi Text: A Domain Centric Approach

Author:

Prasad ArpanaORCID,Sharma NeerajORCID

Publisher

Springer Singapore

Reference20 articles.

1. Prasad, A., Sharma, N.: Lexicon based extraction and opinion classification of associations in text from Hindi weblogs. Int. J. Adv. Res. Eng. Technol. 11(8), 439–451 (2020)

2. Mowlaei, M.E., Abadeh, M.S., Keshavarz, H.: Aspect-based sentiment analysis using adaptive aspect-based lexicons. Expert Syst. Appl. 148(1), 11324 (2020)

3. Liu, B.: Many facets of sentiment analysis. In: Cambria, E., Das, D., Bandyopadhyay, S., Feraco, A. (eds.) A Practical Guide to Sentiment Analysis. Socio-Affective Computing, vol. 5. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55394-8_2

4. Ravi, K., Ravi, V.: A survey on opinion mining and sentiment analysis: tasks, approaches and applications. Knowl.-Based Syst. 89, 14–46 (2015)

5. Patra, B.G., Das, D., Das, A.: Sentiment analysis of code-mixed indian languages: an overview of SAIL code-mixed shared task. In: Banyopadhyay, S. (ed.) Proceedings of ICON-2017: 14th International Conference on Natural Language Processing. NLP Association of India (2017). https://www.aclweb.org/anthology/W/W17/W17-75

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