Aspect-based sentiment analysis (ABSA) algorithm to identify product review categories and corresponding sentiment for each category.
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Updated
Jul 9, 2023 - Jupyter Notebook
Aspect-based sentiment analysis (ABSA) algorithm to identify product review categories and corresponding sentiment for each category.
Sentiment Analysis using different feature extraction techniques
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SenTrack App - Roberta Sentiment Analysis.
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.
This model scores the sentiment of text with a value between 0 ("negative") , 0.5 ("neutral") up to 1 ("positive"). This model was trained on reviews. These were truncated to a maximum of 200 words and only the 20,000 most common words in the reviews are used.
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Movie ratings prediction
In this project I have done Web Scraping and Sentiment Analysis of Food Reviews.
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Riptwitter was trending on twitter when Elon Musk took charge. Lets collect tweets under the hashtag using Twitter API and analyze the tweet sentiment
Sentiment Analysis Using Neural Networks
aspect-based sentiment analysis using syntactic parsing in python
Python code that retrieves tweets about a certain topic, cleans them, performs sentiment analysis, and uploads a CSV to a Microsoft Azure Blob Storage account.
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
Using the Aylien News API to conduct sentiment and date-time analysis to visualize recent insights about Generative AI
twitter real-time sentiment analysis
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