Popular GitHub Repositories for Wordcloud

Visualization Module for Natural Language Processing

This repository consists of all my NLP Projects

Sentiment Analysis Project using Natural Language Processing (NLP) Techniques

Using machine learning & deep learning to analyze the News

TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph

Complete Guide to text processing and sentiment analysis on Twitter data.

B站的弹幕的获取，情感分析和词云图。

PyScreen is an AI-powered tool that extracts, analyzes, and visualizes data from screen recordings. It leverages advanced computer vision, text processing, and AI techniques to provide valuable insights such as dominant color schemes, frequently used words, and content descriptions using OpenAI's GPT-4 model.

The objective of this project is to classify whether upcoming product will have positive or negative Sentiment.

How to classifiy spam sms by using NLP

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Exploratory data analysis for approximately 600 Simpsons episodes and scripts, topic modeling and text generation.

NLP Article Trend Analysis (Oil & Gas)

Observeing the semantic evolution of Xenophobic slurs using word embedding's.

Análisis de sentimientos de los tweets de Donald Trump

A python Sentence-Clustering library based on S-Bert and a diverse number of clustering methods. Establishes best number of clusters for each algorithm and the most optimal algorithm by internal and external validation respectively.

NLP: Sentiment Analysis or Emotion Mining on Amazon Product Reviews - Part-1. Let’s learn the NLP techniques to perform Sentiment Analysis or Emotion Mining on extracted Product Reviews from Amazon. Part-1 covers Text preprocessing and Feature extraction, the next part covers Sentiment Analysis or Emotion Mining on text corpus. https://medium.com/@vaitybharati/nlp-sentiment-analysis-or-emotion-mining-on-amazon-product-reviews-part-1-428d43112027

Amazon Alexa Product Reviews Sentimental Analysis

The Chatbot will try to solve or provide an answer to health-related issues or queries that the user is asking for. We are implementing NLP and ML to improve the efficiency of the chatbot.

For Text Mining assignment ONE: 1) Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv) TWO: 1) Extract reviews of any product from ecommerce website like amazon 2) Perform emotion mining