textatopics

The <code>textatopics</code> object exposes formatted results for the
<code><a rd-options="" href="/link/textaDetectTopics?package=mscstexta4r&version=0.1.2" data-mini-rdoc="mscstexta4r::textaDetectTopics">textaDetectTopics</a></code> API, this REST API's JSON response, and the
HTTP request:<ul>
<li> <code>status</code> the operation's current status ("NotStarted"|"Running"|"Succeeded"|"Failed")
 </li>
<li> <code>documents</code> a <code>data.frame</code> with the documents and a unique
 string ID for each
 </li>
<li> <code>topics</code> a <code>data.frame</code> with the identified topics, a
 unique string ID for each, and a prevalence score for each topic (count of
 documents assigned to topic)
 </li>
<li> <code>topicAssignments</code> a <code>data.frame</code> with all the topics
 (identified by their topic ID) assigned to each document (identified by
 their document ID), and a distance score for each topic assignment (between
 0 and 1; the lower the distance score the stronger the topic affiliation)
 </li>
<li> <code>json</code> the REST API JSON response
 </li>
<li> <code>request</code> the HTTP request
</li>
</ul>

R Client for the Microsoft Cognitive Services Text Analytics
REST API, including Sentiment Analysis, Topic Detection, Language Detection,
and Key Phrase Extraction. An account MUST be registered at the Microsoft
Cognitive Services website <https://www.microsoft.com/cognitive-services/>
in order to obtain a (free) API key. Without an API key, this package will
not work properly.

Phil Ferriere

mscstexta4r

R Client for the Microsoft Cognitive Services Text Analytics
REST API

textatopics function

The <code>textatopics</code> object exposes formatted results for the
<code><a rd-options='' href='textaDetectTopics'>textaDetectTopics</a></code> API, this REST API's JSON response, and the
HTTP request:

<ul>
<li> <code>status</code> the operation's current status ("NotStarted"|"Running"|"Succeeded"|"Failed")
 </li>
<li> <code>documents</code> a <code>data.frame</code> with the documents and a unique
 string ID for each
 </li>
<li> <code>topics</code> a <code>data.frame</code> with the identified topics, a
 unique string ID for each, and a prevalence score for each topic (count of
 documents assigned to topic)
 </li>
<li> <code>topicAssignments</code> a <code>data.frame</code> with all the topics
 (identified by their topic ID) assigned to each document (identified by
 their document ID), and a distance score for each topic assignment (between
 0 and 1; the lower the distance score the stronger the topic affiliation)
 </li>
<li> <code>json</code> the REST API JSON response
 </li>
<li> <code>request</code> the HTTP request
</li>
</ul>

textatopics: The `textatopics` object

Description

Arguments

See Also