About Me
An IIT B postgraduate with 3+ years of experience in deep learning and machine learning from TCS Research. Skilled in python packages like Scikit-learn, Numpy, Pandas, Tensorflow, Keras, Hugging Face, NLTK, Spacy and Gensim, Matplotlib, Streamli...
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Social media influencer classification by using attention based models
Description
This project identified the most relevant Influencers among the 15k Influencers
The dataset is obtained from Instagram posts containing text and images.
Data cleaning is done for text and images followed by the labelling of posts.
BERT and Inception models are used to extract features from images and text
These features are used as input to the attention layer and that is classified in various categories
The category present in the posts is decided based on the topic present in the posts.
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Extractive text summarization by using deep learning and BERT
Description
+ This project helped more than 500 researchers for extracting summaries from research abstracts
+ The dataset used for this study has 200000 paragraphs with their summary
+ Formulated summarization task as a multi-label deletion-based problem
+ The baseline model is Bi-LSTM based model with GloVe embeddings as input
+ The pre-trained BERT model is fine-tuned with BERT word piece embeddings as input
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