Sentimental Analysis for Social Media – A Review

In recent times, Social media has emerged as a personal communication media, as well as, a media to convey reviews about items and benefits or even political and general occasions among its clients. By using web and the web 2.0 the information in Twitter, Facebook and Instagram are easily retrieved....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of advanced networking and applications 2018-11, Vol.10 (3), p.3860-3863
Hauptverfasser: Mahalakshmi, R, Nandhini, M, Kowsalya, G
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 3863
container_issue 3
container_start_page 3860
container_title International journal of advanced networking and applications
container_volume 10
creator Mahalakshmi, R
Nandhini, M
Kowsalya, G
description In recent times, Social media has emerged as a personal communication media, as well as, a media to convey reviews about items and benefits or even political and general occasions among its clients. By using web and the web 2.0 the information in Twitter, Facebook and Instagram are easily retrieved. Because of its use across the board and prevalence, there is a monstrous measure of client surveys or feelings delivered and shared day by day. Mining client sentiments from Social Media is definitely not a straight forward assignment; it can be proficient in various ways. Gathering client sentiments can be costly and tedious assignment utilizing traditional strategies. This paper examines the challenges in doing sentimental analysis for Social Media.
doi_str_mv 10.35444/IJANA.2018.10034
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2139473454</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2139473454</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1134-22ac49582bec2b406e8ad9ceb7b0cd30564c4d14321d7545525847137c0db7c43</originalsourceid><addsrcrecordid>eNo9kN9KwzAUh4MoOOYewLuC160nyUnTXJbhn8lUcHod0jSFSLfOZFN25zvsDX0Su068-Z0fh4_D4SPkkkLGBSJezx7KpzJjQIuMAnA8ISNQUqTACnb63xWck0mMvgLIi5wpxUeELdxq45d9mDYpV6bdRR-TpgvJorO-3z262pvk53uflMmL-_Tu64KcNaaNbvI3x-Tt9uZ1ep_On-9m03KeWko5powZi0oUrHKWVQi5K0ytrKtkBbbmIHK0WFPkjNZSoBBMFCgplxbqSlrkY3J1vLsO3cfWxY1-77ahfzFqRrlCyVEcKHqkbOhiDK7R6-CXJuw0BT3Y0YMdfbCjBzv8FyrnVZ0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2139473454</pqid></control><display><type>article</type><title>Sentimental Analysis for Social Media – A Review</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Mahalakshmi, R ; Nandhini, M ; Kowsalya, G</creator><creatorcontrib>Mahalakshmi, R ; Nandhini, M ; Kowsalya, G</creatorcontrib><description>In recent times, Social media has emerged as a personal communication media, as well as, a media to convey reviews about items and benefits or even political and general occasions among its clients. By using web and the web 2.0 the information in Twitter, Facebook and Instagram are easily retrieved. Because of its use across the board and prevalence, there is a monstrous measure of client surveys or feelings delivered and shared day by day. Mining client sentiments from Social Media is definitely not a straight forward assignment; it can be proficient in various ways. Gathering client sentiments can be costly and tedious assignment utilizing traditional strategies. This paper examines the challenges in doing sentimental analysis for Social Media.</description><identifier>ISSN: 0975-0290</identifier><identifier>EISSN: 0975-0282</identifier><identifier>DOI: 10.35444/IJANA.2018.10034</identifier><language>eng</language><publisher>Eswar Publications</publisher><subject>Algorithms ; Data mining ; Digital media ; Electronic government ; Information retrieval ; Innovations ; Motion pictures ; Personal communication ; Politics ; Sentiment analysis ; Social networks ; Web 2.0</subject><ispartof>International journal of advanced networking and applications, 2018-11, Vol.10 (3), p.3860-3863</ispartof><rights>2018. This work is published under NOCC (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Mahalakshmi, R</creatorcontrib><creatorcontrib>Nandhini, M</creatorcontrib><creatorcontrib>Kowsalya, G</creatorcontrib><title>Sentimental Analysis for Social Media – A Review</title><title>International journal of advanced networking and applications</title><description>In recent times, Social media has emerged as a personal communication media, as well as, a media to convey reviews about items and benefits or even political and general occasions among its clients. By using web and the web 2.0 the information in Twitter, Facebook and Instagram are easily retrieved. Because of its use across the board and prevalence, there is a monstrous measure of client surveys or feelings delivered and shared day by day. Mining client sentiments from Social Media is definitely not a straight forward assignment; it can be proficient in various ways. Gathering client sentiments can be costly and tedious assignment utilizing traditional strategies. This paper examines the challenges in doing sentimental analysis for Social Media.</description><subject>Algorithms</subject><subject>Data mining</subject><subject>Digital media</subject><subject>Electronic government</subject><subject>Information retrieval</subject><subject>Innovations</subject><subject>Motion pictures</subject><subject>Personal communication</subject><subject>Politics</subject><subject>Sentiment analysis</subject><subject>Social networks</subject><subject>Web 2.0</subject><issn>0975-0290</issn><issn>0975-0282</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNo9kN9KwzAUh4MoOOYewLuC160nyUnTXJbhn8lUcHod0jSFSLfOZFN25zvsDX0Su068-Z0fh4_D4SPkkkLGBSJezx7KpzJjQIuMAnA8ISNQUqTACnb63xWck0mMvgLIi5wpxUeELdxq45d9mDYpV6bdRR-TpgvJorO-3z262pvk53uflMmL-_Tu64KcNaaNbvI3x-Tt9uZ1ep_On-9m03KeWko5powZi0oUrHKWVQi5K0ytrKtkBbbmIHK0WFPkjNZSoBBMFCgplxbqSlrkY3J1vLsO3cfWxY1-77ahfzFqRrlCyVEcKHqkbOhiDK7R6-CXJuw0BT3Y0YMdfbCjBzv8FyrnVZ0</recordid><startdate>20181101</startdate><enddate>20181101</enddate><creator>Mahalakshmi, R</creator><creator>Nandhini, M</creator><creator>Kowsalya, G</creator><general>Eswar Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20181101</creationdate><title>Sentimental Analysis for Social Media – A Review</title><author>Mahalakshmi, R ; Nandhini, M ; Kowsalya, G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1134-22ac49582bec2b406e8ad9ceb7b0cd30564c4d14321d7545525847137c0db7c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algorithms</topic><topic>Data mining</topic><topic>Digital media</topic><topic>Electronic government</topic><topic>Information retrieval</topic><topic>Innovations</topic><topic>Motion pictures</topic><topic>Personal communication</topic><topic>Politics</topic><topic>Sentiment analysis</topic><topic>Social networks</topic><topic>Web 2.0</topic><toplevel>online_resources</toplevel><creatorcontrib>Mahalakshmi, R</creatorcontrib><creatorcontrib>Nandhini, M</creatorcontrib><creatorcontrib>Kowsalya, G</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of advanced networking and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahalakshmi, R</au><au>Nandhini, M</au><au>Kowsalya, G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sentimental Analysis for Social Media – A Review</atitle><jtitle>International journal of advanced networking and applications</jtitle><date>2018-11-01</date><risdate>2018</risdate><volume>10</volume><issue>3</issue><spage>3860</spage><epage>3863</epage><pages>3860-3863</pages><issn>0975-0290</issn><eissn>0975-0282</eissn><abstract>In recent times, Social media has emerged as a personal communication media, as well as, a media to convey reviews about items and benefits or even political and general occasions among its clients. By using web and the web 2.0 the information in Twitter, Facebook and Instagram are easily retrieved. Because of its use across the board and prevalence, there is a monstrous measure of client surveys or feelings delivered and shared day by day. Mining client sentiments from Social Media is definitely not a straight forward assignment; it can be proficient in various ways. Gathering client sentiments can be costly and tedious assignment utilizing traditional strategies. This paper examines the challenges in doing sentimental analysis for Social Media.</abstract><pub>Eswar Publications</pub><doi>10.35444/IJANA.2018.10034</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0975-0290
ispartof International journal of advanced networking and applications, 2018-11, Vol.10 (3), p.3860-3863
issn 0975-0290
0975-0282
language eng
recordid cdi_proquest_journals_2139473454
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Algorithms
Data mining
Digital media
Electronic government
Information retrieval
Innovations
Motion pictures
Personal communication
Politics
Sentiment analysis
Social networks
Web 2.0
title Sentimental Analysis for Social Media – A Review
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T02%3A55%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sentimental%20Analysis%20for%20Social%20Media%20%E2%80%93%20A%20Review&rft.jtitle=International%20journal%20of%20advanced%20networking%20and%20applications&rft.au=Mahalakshmi,%20R&rft.date=2018-11-01&rft.volume=10&rft.issue=3&rft.spage=3860&rft.epage=3863&rft.pages=3860-3863&rft.issn=0975-0290&rft.eissn=0975-0282&rft_id=info:doi/10.35444/IJANA.2018.10034&rft_dat=%3Cproquest_cross%3E2139473454%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2139473454&rft_id=info:pmid/&rfr_iscdi=true