Abstract:

Taking into consideration, the use of social media platforms like Twitter, YouTube, Facebook, Ginger, as well as others is expanding. Everyone seems to be free, to express their opinions, whether they are stated in text or videobased. Anyone utilizing a social media network (precisely we are considering YouTube) may encounter multiple diversity comments. As a consequence, the individual may not examine every single comment to determine whether they are positive, neutral, or negative. It can be a lengthy process and gets hectic. The user can get to know about the community acceptance of its channel/video based, on that one can maintain their content quality. To overcome this, we are implementing neural networks to classify the comments using Sentiment Analysis. The results demonstrate that our system, which uses modern techniques, does well on the categorization test, demonstrating its ability to aid content producers boost audience engagement on their channel.

Description:

Classification, Natural Language Processing, Sentiment Analysis