Social media analytics: (Record no. 6558)

MARC details
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fixed length control field 01451nam a22001937a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107122853.0
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fixed length control field 190705b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency IIITMK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Athira B U (92217007)
9 (RLIN) 16125
245 ## - TITLE STATEMENT
Title Social media analytics:
Remainder of title Blog analytics for finding vulnerability
300 ## - PHYSICAL DESCRIPTION
Extent MSC DA 2017-2019
500 ## - GENERAL NOTE
General note Sentiment analysis in natural language processing (NLP) is an important task<br/>where the text content have several opinions about events, product and movie<br/>reviews, trading, marketing, etc. It is an automated process of understanding an<br/>opinion about a given subject from written or spoken language. In recent studies,<br/>researchers have performed the hand-crafted features in sentiment analysis and<br/>machine learning methods such as support vector machines, naive Bayes, conditional<br/>random field, maximum entropy method, etc. but sentiment analysis will<br/>be very difficult for agglutinative language like Malayalam. The proposed work<br/>deals with the categorization of blogs according to its vulnerability, and specify<br/>them as Very Good, Good, Less Vulnerable, Vulnerable, Highly vulnerable.<br/>Keywords : Support Vector Machine, Malayalam, Sentiment Analysis, Natural<br/>Language Processing
502 ## - DISSERTATION NOTE
Degree type MSC DA
Name of granting institution 2017-2019
Year degree granted INT
-- Dr Manoj Kumar T K
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SUPPORT VECTOR MACHINE
9 (RLIN) 16126
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SENTIMENT ANALYSIS
9 (RLIN) 16127
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element NATURAL LANGUAGE PROCESSING
9 (RLIN) 16128
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non Fiction IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre   05/07/2019   R-1547 05/07/2019 05/07/2019 Project Reports