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2. Terminology

 

Natural language processing— It is the application of
computational techniques
to the analysis and synthesis
of natural language and speech. It is a part of computer science, artificial
intelligence and linguistics
concerned with the interfaces between computers and human languages. Precisely, it is the process of a computer mining meaningful data from natural language input or producing natural
language output.

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Opinion mining—is sentiment mining, opinion or sentiment extraction. It is a
type of
natural language processing for tracing the mood
of the public about a certain artefact. Opinion
mining, which can be sentiment analysis, involves building
a system to
gather
and
classify opinions about
a product.

 

Scraping— it is collecting online data from social media and other sources in the form of unstructured format. It can also be termed as site scraping, web harvesting and extraction of web
data.

 

Sentiment
analysis—it refers to the use of natural language
processing, computational
linguistics and text analytics to recognize and extract particular information
in source materials.

 

Text analytics—It involves information recovery, lexical analysis to study word frequency distributions, pattern recognition, tagging
or note, information extraction, data mining techniques
including link and association
analysis, picturing and
predictive analytics.

 

API —is a set of
subroutine characterizations, protocols, and tools for structure
application software. In widespread terms, it can be reflected a set method of
communication
between
various software components. An application-programming interface may use for a web system or operating
system, database system, computer hardware or software library. An application programming interface specification may take have many forms, but commonly includes conditions for routines,
data structures, object classes,
variables or remote calls.

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