Text analytics APIs, part 2: the smaller players

Robert Dale

doi:10.1017/S135132491800027X

Text analytics APIs, part 2: the smaller players

Robert Dale^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

It seems like there's yet another cloud-based text analytics Application Programming Interface (API) on the market every few weeks. If you're interested in building an application using these kinds of services, how do you decide which API to go for? In the previous Industry Watch post, we looked at the text analytics APIs from the behemoths in the cloud software world: Amazon, Google, IBM and Microsoft. In this post, we survey sixteen APIs offered by smaller players in the market.

Original language	English
Pages (from-to)	797-803
Number of pages	7
Journal	Natural Language Engineering
Volume	24
Issue number	5
DOIs	https://doi.org/10.1017/S135132491800027X
Publication status	Published - 1 Sept 2018
Externally published	Yes

Access to Document

10.1017/S135132491800027X

Cite this

@article{182abd987a864df49f8e3c5a04907edf,

title = "Text analytics APIs, part 2: the smaller players",

abstract = "It seems like there's yet another cloud-based text analytics Application Programming Interface (API) on the market every few weeks. If you're interested in building an application using these kinds of services, how do you decide which API to go for? In the previous Industry Watch post, we looked at the text analytics APIs from the behemoths in the cloud software world: Amazon, Google, IBM and Microsoft. In this post, we survey sixteen APIs offered by smaller players in the market.",

author = "Robert Dale",

year = "2018",

month = sep,

day = "1",

doi = "10.1017/S135132491800027X",

language = "English",

volume = "24",

pages = "797--803",

journal = "Natural Language Engineering",

issn = "1351-3249",

publisher = "Cambridge University Press (CUP)",

number = "5",

}

TY - JOUR

T1 - Text analytics APIs, part 2

T2 - the smaller players

AU - Dale, Robert

PY - 2018/9/1

Y1 - 2018/9/1

N2 - It seems like there's yet another cloud-based text analytics Application Programming Interface (API) on the market every few weeks. If you're interested in building an application using these kinds of services, how do you decide which API to go for? In the previous Industry Watch post, we looked at the text analytics APIs from the behemoths in the cloud software world: Amazon, Google, IBM and Microsoft. In this post, we survey sixteen APIs offered by smaller players in the market.

AB - It seems like there's yet another cloud-based text analytics Application Programming Interface (API) on the market every few weeks. If you're interested in building an application using these kinds of services, how do you decide which API to go for? In the previous Industry Watch post, we looked at the text analytics APIs from the behemoths in the cloud software world: Amazon, Google, IBM and Microsoft. In this post, we survey sixteen APIs offered by smaller players in the market.

UR - http://www.scopus.com/inward/record.url?scp=85051028788&partnerID=8YFLogxK

U2 - 10.1017/S135132491800027X

DO - 10.1017/S135132491800027X

M3 - Article

AN - SCOPUS:85051028788

SN - 1351-3249

VL - 24

SP - 797

EP - 803

JO - Natural Language Engineering

JF - Natural Language Engineering

IS - 5

ER -

Text analytics APIs, part 2: the smaller players

Abstract

Access to Document

Other files and links

Fingerprint

Cite this