A sentiment annotated dataset in Swedish containing emojis.
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Updated
Jul 8, 2023
A sentiment annotated dataset in Swedish containing emojis.
Sentiment Analysis using different feature extraction techniques
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.
Analyzing 9801 tweets using Python's Tweepy library and VADER model for sentiment analysis. Results mapped to emotions ('happy,' 'curious,' 'neutral,' 'upset,' 'angry'). Insights gathered on popular discussions, famous accounts, hashtags, and tweet locations for a deeper understanding of user sentiments.
Aspect-based sentiment analysis (ABSA) algorithm to identify product review categories and corresponding sentiment for each category.
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.
Movie ratings prediction
Sentiment Analysis on changing attitudes of Reddit users towards Chat GPT
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.
In this project I have done Web Scraping and Sentiment Analysis of Food Reviews.
Using the Aylien News API to conduct sentiment and date-time analysis to visualize recent insights about Generative AI
twitter real-time sentiment analysis
Sentiment Analysis Using Neural Networks
aspect-based sentiment analysis using syntactic parsing in python
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.
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
APPLICATION OF TEXT MINING AND SENTIMENT ANALYSIS ON 30 HOTELS/RESTAURANTS IN KAMALA THAILAND FROM THE TOURIST ACCOMMODATION REVIEWS DATASET
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