Spam Classification using Multinomial Naive Bayesian Classifier.
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Updated
May 10, 2020 - Jupyter Notebook
Spam Classification using Multinomial Naive Bayesian Classifier.
This repository is the PyTorch implementation of the Attention-Enhanced Relational Graph Convolutional Networks method for the task Multi-lingual and Cross-lingual Word-in-Context Disambiguation from SemEval-2021.
Implementation of a machine learning model to predict COVID-19 Informative Text.
Finding out the political affiliation of users on Reddit from their comments, using both BERT and Doc2Vec embeddings
Image Captioning using Recurrent Neural Networks on Flickr images with pretrained ResNet50 model features.
Data analysis, preprocessing and feature engineering of StackSample dataset & development of 2 ML models (vanilla xgboost + LLM-based model) for tag prediction
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Implementation of the link identification task in BERT.
Full code and most data (in accordance with CrowdTangle’s Terms of Service) supporting an article on what would remain on French-language Facebook if news content was removed
COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"
Implementation and Comparison of Multiclass Synonyms Equivalence Classifiers based on Textual Similarity Metrics using Keras
Music Genre Classification with Turkish Lyrics
This project focuses the implementation on the Healthcare based chat-bot that answers the customer's queries as a therapist that is trained on the interaction between the patient and the therapist responses with the counsel chat dataset.
Extract semantic features to understand the meaning of words using a 2-layer NN with BERT embeddings and McRae features.
Sentence Similarity
BERT fine tuning for humour detection
My solutions for IISc selection-problems
This repo contains everything about transformers and NLP.
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