NDLI: Sentiment Analysis Of Movie Reviews Based On Improved Word2vec And Ensemble Learning

Please wait, while we are loading the content...

Sentiment Analysis Of Movie Reviews Based On Improved Word2vec And Ensemble Learning

Content Provider	Scilit
Author	Bao, Xiaoan Lin, Shasha Zhang, Ruilin Yu, Zechuan Zhang, Na
Copyright Year	2020
Description	Journal: Journal of Physics: Conference Series Taking the field of movie review as an example, this paper proposes a sentiment analysis method based on improved word2vec and ensemble learning. The basic design idea is: firstly build the corresponding corpus through new word discovery and use the TF-IDF algorithm to exponentially weight the word2vec word vector, which is used to integrate the semantic relationship between words and the importance of vocabulary information into the model; secondly, to avoid the cumbersome problems of data labeling, the existing algorithms of automatic labeling reviews are improved to increase the adoption rate of data; finally, Stacking algorithm is used to train and classify the emotional data. The proposed model can simplify the domain text representation and improve the classification performance of the model. The experimental results show that compared with existing methods, the accuracy, precision and recall rate of the algorithm proposed in this paper have been improved on film review data.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1693/1/012088/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1693/1/012088
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	1693
Language	English
Publisher	IOP Publishing
Publisher Date	2020-12-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Improved Word2vec
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in