Using Natural Language Processing to Understand Reasons and Motivators Behind Customer Calls in Financial Domain

Author:

Patil AnkitORCID,Chopra AnkushORCID,Ghosh SohomORCID,Vadla VamshiORCID

Publisher

Springer Nature Singapore

Reference33 articles.

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2. Ait Azzi A, Kang J (2020) Extractive summarization system for annual reports. In: Proceedings of the 1st joint workshop on financial narrative processing and multiling financial summarization, pp 143–147. COLING, Barcelona, Spain (Online). https://www.aclweb.org/anthology/2020.fnp-1.24

3. Chopra A, Nagwanshi P, Ghosh S (2021) Data driven content creation using statistical and natural language processing techniques for financial domain. arXiv preprint arXiv:2109.02935

4. Chu-Carroll J, Carpenter B (1999) Vector-based natural language call routing. Comput Linguist 25(3):361–388. https://www.aclweb.org/anthology/J99-3003

5. Ciravegna F, Gilardoni L, Lavelli A, Mazza S, Black WJ, Ferraro M, Mana N, Matiasek J, Rinaldi F (2000) Flexible text classification for financial applications: the facile system. In: Proceedings of the 14th European conference on artificial intelligence, pp 696–700. ECAI’00, IOS Press, NLD

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