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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Sentiment Analysis on Time-Series Data Using Weight Priority Method on Deep Learning Subject The topic of the resource Deep learning; Natural Language Processing; Polarity Identification; Sentiment Analysis; Time-series data; Weight priority Description An account of the resource Sentiment Analysis (SA)is the process to gain an overview of the public opinion on certain topics and it is useful in commerce and social media. The preference on certain topics can be varied on different time periods. To analyze the sentiments on topics in different time periods, priority weight based deep learning approaches like Convolutional-Long Short-Term Memory (C-LSTM)and Stacked- Long Short-Term Memory (S-LSTM)is explored and analyzed in this research. The research method focuses on three phases. In the first phase text data (review given by the customers on various products)is collected from social networking e-commerce site and temporal ordering is done. In the second phase, different deep learning models are created and trained with different time-series data. In the final phase the weights are assigned based on temporal aspect of the data collected. For the obtained results verification and validation processes are carried out. Precision and recall measures are computed. Results obtained shows better performance in terms of classification accuracy and F1-score. 2019 IEEE. Creator An entity primarily responsible for making the resource Yeo I.; Balachandran K. Source A related resource from which the described resource is derived 2019 International Conference on Data Science and Communication, IconDSC 2019 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IconDSC.2019.8816985" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IconDSC.2019.8816985</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072777448&amp;doi=10.1109%2FIconDSC.2019.8816985&amp;partnerID=40&amp;md5=4c9dac6c2f8bbd8d53eb2dbfe9cc3b9c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072777448&amp;doi=10.1109%2fIconDSC.2019.8816985&amp;partnerID=40&amp;md5=4c9dac6c2f8bbd8d53eb2dbfe9cc3b9c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153869319-3 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Yeo I., Dept. of Computer Science and Engineering, CHRIST, Deemed to be University, Bangalore, India; Balachandran K., Dept. of Computer Science and Engineering, CHRIST, Deemed to be University, Bangalore, India