TY - JOUR
T1 - Text analytics APIs, Part 1
T2 - the bigger players
AU - Dale, Robert
N1 - 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.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85044295914&partnerID=8YFLogxK
U2 - 10.1017/S1351324918000013
DO - 10.1017/S1351324918000013
M3 - Article
AN - SCOPUS:85044295914
SN - 1351-3249
VL - 24
SP - 317
EP - 324
JO - Natural Language Engineering
JF - Natural Language Engineering
IS - 2
ER -