A sentiment analysing web application for customer reviews. Positive, Negative and Neutral opinions are highlighted.
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Updated
Jan 9, 2022 - Python
A sentiment analysing web application for customer reviews. Positive, Negative and Neutral opinions are highlighted.
I will perform a text classification tast using various Transformer like BERT, DistilBERT, ElLECTRA models, mostly from Huggingface community
Thesis Project
1. Fine-tune DistilBERT on NLI and dentify the some salient or toxic features that the model learnt. 2. Sample annotations techniques and production of silver label using (EDA and Back Translation).
Question and Answering telegram bot -- to increase productivity and efficiency within customer service related jobs.
Using State of Art transformers for text classification and deep CNNs for Image Classification
Applying zero-shot learning on classification task.
Advanced RAG pipeline using Re-Ranking after initial retrieval
Transformers
Sentiment Analysis On Stanford Dataset using State-of-the-Art models (Contextualized Embedding)
Multi-modal retrieval with a smooth weighting of negatives
Sentiment analysis on song lyrics using DistilBERT for NLP
Classification of German noun compounds based on the semantic relation between their constituents.
🏥 Dr.Jarvis is a medical transcript classifier that helps patients to get their symptoms diagnosed in real-time on a Streamlit-powered web app. Trained by SVM, KNN, and Random Forest models of sklearn.
Deploying a pretrained distilBERT model with SageMaker
Kaggle Competition
A notebook for a medium article about text classification with Hugging Face DistilBert and Tensorflow 2.0
Distilbert trained on goemotions dataset using huggingface
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