US 16 Elections, text and sentiment analysis from tweets on May 25th until May 27th 2016.
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Updated
May 25, 2018 - HTML
US 16 Elections, text and sentiment analysis from tweets on May 25th until May 27th 2016.
This is a implementation of the EMNLP 2014 paper by Y.Kim
Sentiment analysis of 400,000 amazon reviews
In this project, a character level CNN is used to model sentiments of tweets. Furthermore, XAI techniques such as LayerWise Propagation method is applied to extract support phrases from the tweet as explanation for the model output.
Sentiment analysis is the interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques.
Sentiment Analysis of the Amazon Fine Food Review competition from Kaggle
The goal of this project is to construct a model for a given sentence and the label sentiment to predict what phrases in the sentence that best support the given sentiment.
Analysing Blessthefall songs' lyrics with Sentiment Analysis
An app based on the Syuzhet package and the NRC Word-Emotion Association Lexicon (aka EmoLex) to explore and analyze emotion in news columns related to a word of interest. It has support for several languages and countries.
Binary Sentiment Analysis model for classification of movie reviews
Movie Review Sentiment Analysis | Built in Flask and Deployed to Docker
PoliceSight is an open-source public monitoring system aimed to enhance the safety of the Indian pubic using NLP powered compliant detection system for twitter and Computer Vision assisted road accident detection and alerting.
Exploratory Data Analysis on tweets @dell and their sentiment analysis, coded in Data Spell IDE using Jupyter Notebook.
Sentimental analysis and classification using Sentimental Hidden Markov Model (SHMM)
About Sentiment analysis of customer reviews for various Amazon Alexa products.
Sentiment analysis of Amazon Alexa's reviews to classify them with positive or negative feedback.
I tried to predict the sentiment associated with the tweets by using machine/deep learning pipeline.
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