Sentiment Analysis using different feature extraction techniques
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Updated
Sep 25, 2018 - Python
Sentiment Analysis using different feature extraction techniques
Aspect-based sentiment analysis (ABSA) algorithm to identify product review categories and corresponding sentiment for each category.
This project was run in DataBricks using spark to analyze the recent news in 'cancer' for sentiment evaluation. The goal of this project is to practice traditional NLP like tokenization, stopwords, CV and TF-IDF, N-grams. Also, this project applied tools like AWS S3, athena, QuickSight etc. to address big data.
Sentiment Analysis on changing attitudes of Reddit users towards Chat GPT
SenTrack App - Roberta Sentiment Analysis.
Movie ratings prediction
Aspect Based Sentiment Analysis to extract aspects and their sentiment scores from customer reviews of different shopping apps that are scraped from play store reviews. This helps businesses to identify and analyze their customers' sentiment towards their brand and correct them accordingly.
APPLICATION OF TEXT MINING AND SENTIMENT ANALYSIS ON 30 HOTELS/RESTAURANTS IN KAMALA THAILAND FROM THE TOURIST ACCOMMODATION REVIEWS DATASET
In this project I have done Web Scraping and Sentiment Analysis of Food Reviews.
Performed PySpark based text pre-processing including lemmatization, POS tagging and UDF functions on customer feedback. Computed and visualized sentiment score to identify areas of improvements.
Riptwitter was trending on twitter when Elon Musk took charge. Lets collect tweets under the hashtag using Twitter API and analyze the tweet sentiment
Using the Aylien News API to conduct sentiment and date-time analysis to visualize recent insights about Generative AI
aspect-based sentiment analysis using syntactic parsing in python
Sentiment Analysis Using Neural Networks
twitter real-time sentiment analysis
In this repository I will be doing some sentiment analysis in python using two different techniques: VADER (Valence Aware Dictionary and sEntiment Reasoner) - Bag of words approach Roberta pre-trained Model from Huggingface Pipeline
This repository contains the code for a text analysis project that focuses on CNN news articles. The project includes web scraping, data preprocessing, and natural language processing techniques to extract insights from the articles. The code is written in Python and uses popular libraries such as BeautifulSoup and NLTK.
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