Deep-Learning-Projects

Contains deep learning projects in NLP

Sentiment Analysis

Sentiment analysis aka opinion mining is the process of understanding the opinion of a subject about an object.

• The Sentiment Analysis project was implemented using Naive Bayes Classifier, RNN -> LSTM & GRU, and Pre-trained BERT model
• The Pre-trained BERT model was fine-tuned and deployed on AWS Sagemaker.

Open the Sentiment Analysis folder to access project

Punctuation Restoration

Punctuation Restoration is the application of machine learning techniques to automate the punctuation of a disfluent paragraph of text. It is majorly used to punctuate the output of Automatic Speech Recognition System, so it can be readable by humans, and used for other NLP Tasks.

• Used Amazon Sagemaker experiments to track the model training on different algorithms.
• Utilized Amazon Sagemaker Pipeline for data processing, model training, and model evaluation, and Amazon Sagemaker Model Registry to store model artifacts.
• Utilized Amazon Sagemaker Endpoints to deploy the model

Text Summarization

Neural Machine Translation(NMT)

Neural Machine Translation is training your computer to translate human languages e.g. From English to French, or English to yoruba

Speech to text Summarization