My very first NLP project where I utilized all the concepts I learned of the topic.
-
Updated
Oct 13, 2023 - Python
My very first NLP project where I utilized all the concepts I learned of the topic.
Contains work done for NLP Specialization courses from DeepLearning.AI
NLP Project 2 - Using ount Vector, TF-IDF Vector, Co-occurrence Matrix for Frequency based embeddings and made Word2Vec model using Continuous Bag of Words (CBOW) and Skip-Gram (SG) for Prediction based Embeddings
A movies Recommender system based on NLP Techniques (WordEmbedding)
Exploratory data anlaysis and machine learning modelling detecting for duplicate question pairs.
Text generation model built using Tensorflow2 and trained on TPU. The model is multilayer Bidirectional LSTM.
Code for implementation of word embeddings from scratch in python using Frequency-based Embedding(Co-occurrence Matrix method) and Prediction-based Embedding method(Word2vec method)
Creates traditional word and syntactic dependency embedding models for use in finding hate speech code words.
This is a NLP project to detect toxic content to improve online conversations supervised by Prof. Rudzicz @ University of Toronto.
Construct a "home-made" Word Embedding by building a simple Movie Review Classifier.
Development of guess a word game with NLP and optimal strategies search
Analyze fire accident factor applying word embedding and network analysis
Delightful Dining Discoveries: A Journey of Culinary Exploration
The primary objective of this project is to develop a robust system capable of accurately classifying patient conditions solely based on their reviews. By leveraging advanced NLP techniques, the project aims to streamline the categorization process and provide valuable insights into patient health status.
Classifying sentiments in text by using Word Embedding and the model is built Tensorflow2.
Sentiment Analysis of Customer Reviews
This project aims to implement various word embedding methods.
# Machine Learning project 2
Word embedding's and Neural-Network implementation for BBC News Archive dataset using Tensorflow
Add a description, image, and links to the wordembeddings topic page so that developers can more easily learn about it.
To associate your repository with the wordembeddings topic, visit your repo's landing page and select "manage topics."