Automated Sentiment Analysis of Web Multimedia

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Automated Sentiment Analysis of Web Multimedia
Author(s):
Ashutosh Bhawsar, Devashish Katoriya, Ninad Kapadnis, Bhushan Shilawat, Anand Kolapkar
Keywords:
sentiment analysis, natural language processing, speech recognition, information retrieval, machine learning, user experience.
Abstract
The popularization web-based multimedia content has raised the need to analyze and retrieve it automatically. There is an immense need for identification as well as classification of sentiments (human emotions) due to unfeasibility of labelling big data manually on a larger scale. The Proposed system is to automate the content identification using Audio Processing and Machine Learning. The system aims to extract the audio stream from any multimedia as the input. Using natural language processing, the system will automatically generate raw text useful for identification of the type of multimedia. Further using this data and machine learning, the system will label the content with the opinion of the speaker as output. It will show various sentiments along with their intensity.
Article Details
Unique Paper ID: 150271 Publication Volume & Issue: Volume 7, Issue 6 Page(s): 54 - 57
Article Preview & Download

Share This Article

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org