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Texts from twitter has been collected to decide the impact, it has been causing the public .We took a testing dataset and used neural network – Model training for testing the retrieved tweets and gain prediction of the sentiments from their tweets.
This a project which predicts the stock price of Tesla for a given time period & based upon the previous 10 years of historical data. Here, numerical and sentimental analysis is performed with the help of natural language toolkit (NLKT), Textblob, sklearn etc. By observing the previous trends of the market stock price and sentiments of the news …
This repositories contains all the materials and the supports used to perform a Sentiment Analysis Classification on Twitter's tweets. This project was part of a competion of the Data Science Lab course - Politecnico di Torino.
A sentimental analysis of data from Twitter regarding customer sentiment for 6 US airlines: American, Delta, Southwest Airlines, United, US Airways, and Virgin America. Then use Tensor Flow to predict the chance of a tweet to be positive, negative, or neutral.
Trabalho de conclusão de curso de ADS do IFRS-Sertão. Desenvolvimento de um Chatbot em Python com objetivo de auxiliar estudantes da instituição a encontrar informações relevantes através de interações amigáveis.