Micro Services, Containers and Orchestration Tutorial
A Sentiment Analysis App built using Random Forest Classifier and also using TextBlob and Vandar Libraries .
Delivered a valuable assessment of UberEats' service quality by analyzing customer feedback shared on Twitter.
also first time working with nlp and simple postgresql
In-depth analysis of YouTube Data
Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library, uncovering insights on audience engagement, emoji usage, and video performance metrics. Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.
A sentiment analysis tool that classifies feedback as positive, negative, or neutral, with corresponding emotional reactions.
Using NLP based LDA-Gensim Topic modelling Algorithm to categorize Yelp restaurant reviews.
Twitter Sentiment Analysis is a Python project that analyzes the sentiment of tweets based on a user-defined keyword. It uses Tweepy to fetch tweets from the Twitter API and TextBlob for sentiment analysis. The application features a user-friendly GUI with Tkinter, displaying tweet sentiment as positive, negative, or neutral.
Bitcoin price fluctuation prediction model using headline sentiment scores from top newpaper articles. This is the repository that includes all the data and python scripts used while creating the project.
Herramienta de análisis de sentimientos para comentarios de YouTube utilizando TextBlob y Transformers.
This repository contains a project that demonstrates how to perform sentiment analysis on Twitter data using Apache Spark, including data preprocessing, feature engineering, model training, and evaluation.
In this repository, I tried to analyze different apps' review analysis through google play scraper and sentiment analysis of those reviews through textBlob
This project is to analyze the sentiment of subtitle text from the movie "Coco (2017)" using the Natural Language Processing (NLP) tool TextBlob. Through this analysis, I aim to understand how the audience's emotions evolve throughout the film and create compelling visualizations of the sentiment analysis results.
The Jarvis Project is your personal virtual assistant, offering voice and text interaction for streamlined tasks and entertainment. With features like speech recognition, text-to-speech, and API integration, Jarvis simplifies your life and keeps you informed. Powered by OpenAI's GPT-3, it provides personalized responses for a seamless experience.
AI, Sentiment Analysis of Human Romantic Relationships
Gestione recensioni in python
The response pdf is neatly organized in a table format in PDF, contains 15 distinct questions and corresponding 106 student answers. Performed sentiment analysis on pdf by extracting the raw data from pdf and convert it into data frame for easy analysis. Then perform column wise and row wise sentiment analysis and shown the result along with graph
Graduate course project that involves Analyzing documents using Textatistic, TextBlob, and spaCy.
collection of Python scripts designed for scraping Twitter data, conducting sentiment analysis on tweets, retrieving stock market information, and more.
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