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Title: :  Movie Recommendation using Sentiment Analysis and Ajax
PaperId: :  14578
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14578
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Keerthana MDayananda Sagar Academy of Technology and Management
Aarushi SharmaDayananda Sagar Academy of Technology and Management
Kandyala LekhanaDayananda Sagar Academy of Technology and Management
Keshav Anil RathiDayananda Sagar Academy of Technology and Management

Abstract

Computer Science
Recommendation System, Content-Based Filtering, Sentiment Analysis, Cosine Similarity, Collaborative Filtering
Movie proposal in Web climate is fundamentally significant for Internet clients. It completes a thorough accumulation of client's inclinations, surveys, and feelings to help them find appropriate motion pictures advantageously. Be that as it may, it requires both exactness and practicality. To enhance the exactness and idealness of the movie recommender system, this paper proposes a movie suggestion structure based on a mixture suggestion model and slant investigation on the Web level. In the proposed process, we first build a starter suggestion list using a half-and-half suggestion technique. At that point, opinion examination is utilized to streamline the rundown. At last, the mixture recommender framework with opinion examination is executed. The half and half suggestion model with opinion investigation outflank the conventional models regarding different assessment standards. RS is a smart system that provides relevant information about the choices made by a user. It has two practical methods namely Collaborative filtering and Content-based filtering. There are certain disadvantages, such as the need for prior user background and preferences in order to execute the recommendation task. This paper combines the two listed methods that are Content-based filtering and Sentiment analysis. Our proposed technique makes it advantageous and quick for clients to acquire valuable film proposals. For the data set, we will be accessing the IMDB movie dataset from a website called Kaggle.

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IJARIIE Keerthana M, Aarushi Sharma, Kandyala Lekhana, and Keshav Anil Rathi. "Movie Recommendation using Sentiment Analysis and Ajax" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 2312-2318
MLA Keerthana M, Aarushi Sharma, Kandyala Lekhana, and Keshav Anil Rathi. "Movie Recommendation using Sentiment Analysis and Ajax." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 2312-2318.
APA Keerthana M, Aarushi Sharma, Kandyala Lekhana, & Keshav Anil Rathi. (2021). Movie Recommendation using Sentiment Analysis and Ajax. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 2312-2318.
Chicago Keerthana M, Aarushi Sharma, Kandyala Lekhana, and Keshav Anil Rathi. "Movie Recommendation using Sentiment Analysis and Ajax." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 2312-2318.
Oxford Keerthana M, Aarushi Sharma, Kandyala Lekhana, and Keshav Anil Rathi. 'Movie Recommendation using Sentiment Analysis and Ajax', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 2312-2318. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Movie_Recommendation_using_Sentiment_Analysis_and_Ajax_ijariie14578.pdf (Accessed : 15 June 2025).
Harvard Keerthana M, Aarushi Sharma, Kandyala Lekhana, and Keshav Anil Rathi. (2021) 'Movie Recommendation using Sentiment Analysis and Ajax', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 2312-2318IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Movie_Recommendation_using_Sentiment_Analysis_and_Ajax_ijariie14578.pdf (Accessed : 15 June 2025)
IEEE Keerthana M, Aarushi Sharma, Kandyala Lekhana, and Keshav Anil Rathi, "Movie Recommendation using Sentiment Analysis and Ajax," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 2312-2318, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Movie_Recommendation_using_Sentiment_Analysis_and_Ajax_ijariie14578.pdf [Accessed : 15 June 2025].
Turabian Keerthana M, Aarushi Sharma, Kandyala Lekhana, and Keshav Anil Rathi. "Movie Recommendation using Sentiment Analysis and Ajax." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 (15 June 2025).
Vancouver Keerthana M, Aarushi Sharma, Kandyala Lekhana, and Keshav Anil Rathi. Movie Recommendation using Sentiment Analysis and Ajax. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 15 June 2025]; 7(3) : 2312-2318. Available from: https://ijariie.com/AdminUploadPdf/Movie_Recommendation_using_Sentiment_Analysis_and_Ajax_ijariie14578.pdf
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