Last 7 days, UTC

Average Latency
2ms

Average Uptime
100.0%

Current Status
Online

  • No information
  • Outage
  • Disruption
  • Normal
Average latency determined from Mashape to API Response time

Endpoints

HTTP 200 : string GET/topics-1.1
topics-1.1

Identifies people names, locations, companies, dates, currency and many other expressions.


Test console
Description
Parameter
string

Output format, xml or json
Example: json

of

Optional

string

Input text language. It can be es, en, it, fr, pt, ca,
Example: en

lang

Required

string

Input text. (Required if 'doc' and 'url' are empty).
Example: Arsene Wenger’s side sit third in the Premier League for the first time since September 22.

txt

Optional

string

Specifies if the text included in the txt parameter uses markup language that needs to be interpreted. (Required only if txt is not empty)
Example: plain

txtf

Optional

string

Web page with the text to be analyzed. (Required if 'txt' and 'doc' are empty).
Example: Any url

url

Optional

string

A file with the text to be processed. (Required if 'txt' and 'url' are empty).
Example: Any doc file

doc

Optional

string

The list of topic types to be extracted: (e)ntities, (t)ime expressions, (a)ll. More info at https://textalytics.com/core/topics-info
Example: a

tt

Required

string

When unknown words appear in the text, the API tries to find the more similar entity.
Example: n

uw

Optional

string

Overcomes typo errors. Useful when named entities appearing in lowercase, ()
Example: y

rt

Optional

string

Detects subtopics, i.e: topics that are part of another topic. Ex.: London is a subtopic in Tower of London
Example: n

st

Optional

string

Disambiguation level. Desambiguation can use morphological and/or semantic rules. This parameters allows selection of them. More info at https://textalytics.com/core/topics-info
Example: 4

dm

Optional

string

Disambiguation context. When several semantic tags are available this parameter allows limiting valid senses. More info at https://textalytics.com/core/topics-info
Example: ODTHEME_BASKETBALL

cont

Optional

string

Indicates if the concept extraction must be case sensitive.
Example: n

cs

Optional

string

Time reference for time expressions detected
Example: 2013-10-10 00:30:00 GMT±01:00

timeref

Optional

string

This parameter will specify the list of active dictionaries that will be used in the topic extraction. More info at https://textalytics.com/core/topics-info
Example: chetsdpqr

dic

Optional

string

The user dictionary allows to apply user-defined terms in the topics extraction. More info at https://textalytics.com/core/topics-info
Example: (dictionary name)

ud

Optional

  • string

    HTTP 0

Consume this API completely for free!


By joining the mashape API marketplace you can start using Textalytics Topics Extraction 1.1 API today!

Login to your account or signup: Create Account

or
   Signup with GitHub

By signing up you agree to our terms of service.