Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Corpus based sentimenal movie review analysis using auto encoder convolutional neural network Subject The topic of the resource 1500; 1501; 1511; 4500; 4501; Corpus; Dimensionality reduction; Feature extraction; Feature selection; Sentiment analysis; Word disambiguation Description An account of the resource In natural language processing, most prominent branch is sentiment analysis. Peoples emotions and attitudes are analyzed using this sentiment analysis towards service, some product, etc. In prediction of the future scope of a product, some benefits are given by sentiment analysis. However, manual analysis of such a huge amount of documents is a highly tedious task, especially with limited time. Hence, for solving this problem, various attempts are made in literature and proposed different sentiment analysis methods. However, in generation of lexicon, popular NLP tools has some drawbacks. The accuracy of lexicons based on humans is less and they are limited too. On the other hand, lexicons based on dictionary are highly general and they are domain specific. So, a technique called Corpus Integrated Autoencoder Convolutional Neural Network based Sentiment Analysis (CI-AECNN) is proposed in this work for solving this issue. The sentiment lexicon generation based on corpus is performed in this work. Candidates sentiment orientation are computed using this and seed lexicon are added with recognized sentiment words and from seed lexicon, words with incorrect sentiment are removed. The long short-term memory (LSTM) is used for performing Word Sense Disambiguation. Conditional random fields are used for extracting features. At last, auto-encoder, convolutional neural network is used for performing classification. In MATLAB simulation environment, conducted this research works overall analysis and it indicates that better results are produced by proposed technique when compared with available techniques. 2021 Taru Publications. Creator An entity primarily responsible for making the resource Prabu P.; Sivakumar R.; Ramamurthy B. Source A related resource from which the described resource is derived Journal of Discrete Mathematical Sciences and Cryptography, Vol-24, No. 8, pp. 2323-2339. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/09720529.2021.2014139" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720529.2021.2014139</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121863316&amp;doi=10.1080%2F09720529.2021.2014139&amp;partnerID=40&amp;md5=202e1f77f7f85e4e0c8ef9c66097bf88" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121863316&amp;doi=10.1080%2f09720529.2021.2014139&amp;partnerID=40&amp;md5=202e1f77f7f85e4e0c8ef9c66097bf88</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9720529 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prabu P., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Sivakumar R., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Ramamurthy B., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India