<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v3i5.992</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>A Sentimental Analysis System for Film Review based on Deep Learning</title><url>https://artdesignp.com/journal/JERA/3/5/10.26689/jera.v3i5.992</url><author>WuKeyao</author><pub-date pub-type="publication-year"><year>2019</year></pub-date><volume>3</volume><issue>5</issue><history><date date-type="pub"><published-time>2019-12-20</published-time></date></history><abstract>The paper will be introduced as sentimental analysis system of film criticism based on deep learning. Which contains four main processing sections. Compared with other systems, our sentimental analysis system based on deep learning has plenty of advantages, including simple structure, high accuracy, and rapid encoding speed.</abstract><keywords/></article-meta></front><body/><back><ref-list/></back></article>
