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
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.
SenTrack App - Roberta Sentiment Analysis.
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.
Aspect-based sentiment analysis (ABSA) algorithm to identify product review categories and corresponding sentiment for each category.
Sentiment Analysis on changing attitudes of Reddit users towards Chat GPT
Movie ratings prediction
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.
aspect-based sentiment analysis using syntactic parsing in python
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.
Using the Aylien News API to conduct sentiment and date-time analysis to visualize recent insights about Generative AI
Riptwitter was trending on twitter when Elon Musk took charge. Lets collect tweets under the hashtag using Twitter API and analyze the tweet sentiment
APPLICATION OF TEXT MINING AND SENTIMENT ANALYSIS ON 30 HOTELS/RESTAURANTS IN KAMALA THAILAND FROM THE TOURIST ACCOMMODATION REVIEWS DATASET
Sentiment Analysis Using Neural Networks
twitter real-time sentiment analysis
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