YouTube Comment Sentiment Analysis using Machine Learning
YouTube Comment Sentimental Analysis in the interface it have to take the YouTube link as input and it have to display all the below objectives.
YouTube Comment Sentiment Analysis Project developed using Python Programming Language and Natural Language Processing is a subfield of linguistics, artificial intelligence and computer science with interaction between human language and computers.
- 1.The system will provide the overview of the main content. top most frequently used words in word cloud format.
- 2.The system will list the positive and negative words from the comments .words cloud format.
- 3.Presentation of Top ‘Emojis’ used by the audience .word cloud format.
- 4.Graphical representation of positive and negative comments with respective to their frequency.
- 5.The system will deliver analysis results using voice, presenting them in a more coherent and understandable manner. like how much percent of positivity we are getting from comments , similar for negative and neutral. It have to process minimum of 400 to 500 comments.
Sentiment Analysis of YouTube Comments using NLP
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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