Author Login IJIRT Partner Network (IPN) Login

Automated Sentiment Analysis of Web Multimedia

  • Unique Paper ID: 150271
  • Volume: 7
  • Issue: 6
  • PageNo: 54-57
  • 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.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 7
  • Issue: 6
  • PageNo: 54-57

Automated Sentiment Analysis of Web Multimedia

Related Articles

04 Oct, 2020

AYURVEDIC HERB DETECTION USING COMPUTER VISION

Read More
Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry