<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>international journal of industrial Engineering &amp; Production Research</title>
<title_fa>نشریه بین المللی مهندسی صنایع و تحقیقات تولید</title_fa>
<short_title>IJIEPR</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://ijiepr.iust.ac.ir</web_url>
<journal_hbi_system_id>18</journal_hbi_system_id>
<journal_hbi_system_user>agent2</journal_hbi_system_user>
<journal_id_issn>2008-4889</journal_id_issn>
<journal_id_issn_online>2345-363X</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi></journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1399</year>
	<month>3</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2020</year>
	<month>6</month>
	<day>1</day>
</pubdate>
<volume>31</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>fa</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>An Empirical Review on Challenges and Approaches in Sentiment Analysis</title>
	<subject_fa>زنجیره تامین و لجستیک</subject_fa>
	<subject>Logistic &amp; Apply Chain</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;span en-us=&quot;&quot; new=&quot;&quot; style=&quot;font-family:;&quot; times=&quot;&quot;&gt;&lt;em&gt;&lt;font color=&quot;#000000&quot;&gt;Nowadays, data are the food for the digital world. The main rich sources for data generated by social networks such as Twitter, Face book, Instagram, and LinkedIn. The data generated from micro-blogging services are plays a vital role in business intelligence like product reviews, movie reviews, election results prediction by social media data analysis. Sentiment analysis (SA) is the key method of predicting netizens emotions behind the text expressed in social media. The main motto of this survey to give complete idea about tools and the techniques used in Sentiment Analysis and the relevant fields with brief details.&lt;/font&gt;&lt;/em&gt;&lt;/span&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Business Intelligence, Data Generation, Sentiment Analysis, Social Media Data Analysis</keyword>
	<start_page>317</start_page>
	<end_page>322</end_page>
	<web_url>http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-1597-1&amp;slc_lang=fa&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>P</first_name>
	<middle_name></middle_name>
	<last_name>Subbaraju</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>raju.pericherla74@pec.edu</email>
	<code>180031947532846005874</code>
	<orcid>180031947532846005874</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Department of  IT, SRKREC, Bhimavaram, A.P, India,</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>K.</first_name>
	<middle_name></middle_name>
	<last_name>Chandra Sekhar</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>180031947532846005875</code>
	<orcid>180031947532846005875</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>1.	Department of  IT, SRKREC, Bhimavaram, A.P, India</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>P.R.S.S.V.</first_name>
	<middle_name></middle_name>
	<last_name>Raju</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>180031947532846005876</code>
	<orcid>180031947532846005876</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>1.	Department of  IT, SRKREC, Bhimavaram, A.P, India</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>K.</first_name>
	<middle_name></middle_name>
	<last_name>Satyanarayana Raju</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>180031947532846005877</code>
	<orcid>180031947532846005877</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>1.	Department of  IT, SRKREC, Bhimavaram, A.P, India</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>M. K. S.</first_name>
	<middle_name></middle_name>
	<last_name>Varma</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>180031947532846005878</code>
	<orcid>180031947532846005878</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>1.	Department of  IT, SRKREC, Bhimavaram, A.P, India</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
