Natural Language Technology and Public Opinion Polling [via Argumentation Community Group]

Web-based opinion polls can be enhanced by natural language processing
technology. Uses of natural language technology include processing text-based
responses to the questions of opinion polls, surveys or questionnaires,
including why people answered one or more previous questions as they did, using
natural language to, for example, explain their reasoning. Uses of forms
enhanced with natural language user input capabilities include team scenarios,
collaborative software, i.e. business software, as well as public opinion
polling. 

Websites or apps could make use of forms enhanced with natural language
processing, forms enhanced with text-based user input elements. En route to
client-side natural language technology, cloud-based technologies could provide
such services. Teams could utilize web-based user interfaces to configure
cloud-based natural language processing services per text-based user input form
element. Examples of configurable cloud-based natural language technology
include Project Oxford which has a language understanding intelligent service
(LUIS).

In addition to processing bulk quantities of completed opinion polls, surveys or
questionnaires, where multi-document processing could enhance the results of
such processing, possible services include determining whether a natural
language processing service can parse text-based user input elements' text
contents, in the elements' contexts, while the user is typing, while the user in
on a page, or before they conclude a multipage form.

Natural language technology can also enhance the design of opinion polls,
surveys or questionnaires, processing the text of sequences of or flowcharts of
questions.



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'Natural Language Technology and Public Opinion Polling'

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Received on Sunday, 5 July 2015 17:19:30 UTC