Minimalist api for text polarity / subjectivity
-
Updated
May 17, 2018 - Python
Minimalist api for text polarity / subjectivity
Do you want to analyse the sentiment of Tweets? This projects connects to the Twitter API and evaluates the Tweets using TextBlob
Natural Language Processing research by University of Messina
Model training and live twitter analysis. Done for the J-component for CSE4009, Fall-sem 19, Parallel and Distributed computing
Joe Biden Inauguration speech. Sentiments analyzed with NLP
An AI model that automatically detects the language of a given text supported by 3 pre-trained NLP models and one ML algorithm.
Research of NLP on top of Hotel reviews - sentiment analysis
Web-app that recieve a input text and return text in Json format, WordCloud Image as well in a API
Disease Outspread Prediction and Analysis Using Twitter data and python
The idea is to plot the emotion of the story in a graph. So that we can literally "see" the roller coaster of emotions the movie has to offer.
Natural Language Processing Mini Projects
Sentiment Analyzer using python packages like textbob , wordcloud etc. When you give an twitter username it analyses the recent tweets of that user.
Feature engineering with the help of HuggingFace transformers, Tensorflow, Keras, TextBlob, NLTK, Sci-kit learn etc.
Twitter sentiment analyses for SWE-522 software engineering course.
The objective is to analyze Tweeps (twitter user's) emotion about shoprite, Most occurring words in tweets &Top Tweeps on ShopRite trend table.
twitter real-time sentiment analysis
Unveiling customer sentiments through company reviews, for informed decision-making
Add a description, image, and links to the textblob topic page so that developers can more easily learn about it.
To associate your repository with the textblob topic, visit your repo's landing page and select "manage topics."