MOVIE RATING WEBSITE USING VOICE OVER SENTIMENT ANALYSIS
Abstract & Details
Research Area
COMPUTER ENGINEERING
Keywords
voice over sentiment analysis
Movie rating
website
sentiment analysis
flask.
Abstract
The Voice-over Sentiment Analysis implemented on Ratelix, a cutting-edge movie rating website, marks a monumental breakthrough in the realm of film reviews. Ratelix has heralded a transformative era by introducing a groundbreaking sentiment analysis feature that leverages voice inputs. This pioneering functionality empowers users to articulate their viewpoints not merely through textual expressions but also through voice recordings, ushering in a more profound comprehension of user sentiment. This avant-garde capability grants users access to a treasure trove of movie insights, encompassing the nuanced emotional tones embedded within reviews. This innovative approach augments the overall user experience, providing a distinctive dimension to the process of evaluating movies, consequently distinguishing Ratelix from conventional platforms such as IMDb. The platform's triumphant ascent is evidenced by a surge in user engagement, equipping movie enthusiasts with greater discernment in their cinematic selections, and endowing Ratelix with a competitive edge in the ever-evolving landscape of online movie ratings and reviews. Ratelix's pioneering foray into voice-driven sentiment analysis has irrevocably reshaped the dynamics of movie criticism, promising a future where the spoken word resonates as profoundly as the written one in the cinematic discourse.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | SUJAY ANIRUTH P V | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 2 | SYLESHKUMAR N J | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 3 | VENKATESAN R | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
V, SUJAY ANIRUTH P, J, SYLESHKUMAR N, & R, VENKATESAN (2023). MOVIE RATING WEBSITE USING VOICE OVER SENTIMENT ANALYSIS. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 897-902.
MLA Style
V, SUJAY ANIRUTH P, et al. "MOVIE RATING WEBSITE USING VOICE OVER SENTIMENT ANALYSIS." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 897-902.
IEEE Style
SUJAY ANIRUTH P V, SYLESHKUMAR N J, and VENKATESAN R, "MOVIE RATING WEBSITE USING VOICE OVER SENTIMENT ANALYSIS," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 897-902, 2023.
Vancouver Style
V SUJAY ANIRUTH P, J SYLESHKUMAR N, R VENKATESAN. MOVIE RATING WEBSITE USING VOICE OVER SENTIMENT ANALYSIS. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):897-902.
Harvard Style
V, SUJAY ANIRUTH P, J, SYLESHKUMAR N, & R, VENKATESAN (2023) 'MOVIE RATING WEBSITE USING VOICE OVER SENTIMENT ANALYSIS', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 897-902.
Chicago Style
V, SUJAY ANIRUTH P, SYLESHKUMAR N J, and VENKATESAN R. "MOVIE RATING WEBSITE USING VOICE OVER SENTIMENT ANALYSIS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 897-902.
Turabian Style
V, SUJAY ANIRUTH P, SYLESHKUMAR N J, and VENKATESAN R. "MOVIE RATING WEBSITE USING VOICE OVER SENTIMENT ANALYSIS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 897-902.
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