arXiv Open Access 2023

Natural language processing on customer note data

Andrew Hilditch David Webb Jozef Baca Tom Armitage Matthew Shardlow +1 lainnya

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Abstrak

Automatic analysis of customer data for businesses is an area that is of interest to companies. Business to business data is studied rarely in academia due to the sensitive nature of such information. Applying natural language processing can speed up the analysis of prohibitively large sets of data. This paper addresses this subject and applies sentiment analysis, topic modelling and keyword extraction to a B2B data set. We show that accurate sentiment can be extracted from the notes automatically and the notes can be sorted by relevance into different topics. We see that without clear separation topics can lack relevance to a business context.

Topik & Kata Kunci

cs.CL

Penulis (6)

Andrew Hilditch

David Webb

Jozef Baca

Tom Armitage

Matthew Shardlow

Peter Appleby

Format Sitasi

APA MLA BibTeX

Hilditch, A., Webb, D., Baca, J., Armitage, T., Shardlow, M., Appleby, P. (2023). Natural language processing on customer note data. https://arxiv.org/abs/2305.02029

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓