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Sentiment-Analysis-of-memes

Our main aim in this project is to find the sentiment of memes.

In which we are working on two approaches — —

1.Unimodel(Transfer learning) 
2. Multimodel

Our Proposed Method based on Multimodel

We used these to classify the sentiment.

1-Inception V3 for Feature Extraction

2-Recurrent Nueral Network for Predicting next work using seqeunce

3-Feed Forward Network for caption the Image using output of Inception V3 and RNN 

Dataset: https://drive.google.com/drive/folders/1CKcUIKK4qzAG-waUuJKhror91tvfTx_9?usp=sharing

Blog: https://medium.com/@dhanraj0709/sentimental-analysis-of-memes-c1d2b26a7618

Youtube: https://youtu.be/LpmQmIINnmo

Post: https://www.linkedin.com/feed/update/urn:li:activity:6678915588338937856/

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When someone sends you a meme can you tell the sender actually happy, angry, or neutral? This makes sentiment analysis more important than ever.

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