Text analytics APIs, Part 1

the bigger players

Robert Dale*

*Corresponding author for this work

Research output: Contribution to journalArticle

3 Citations (Scopus)
14 Downloads (Pure)

Abstract

If you're in the market for an off-the-shelf text analytics API, you have a lot of options. You can choose to go with a major player in the software world, for whom each AI-related service is just another entry in their vast catalogues of tools, or you can go for a smaller provider that focusses on text analytics as their core business. In this first of two related posts, we look at what the most prominent software giants have to offer today.

Original languageEnglish
Pages (from-to)317-324
Number of pages8
JournalNatural Language Engineering
Volume24
Issue number2
DOIs
Publication statusPublished - 1 Mar 2018
Externally publishedYes

Bibliographical note

Copyright Cambridge University Press 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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