Dataset from Zenodo · Repository creator - Campos Arias, Julie R.
Datasets for Sentiment Analysis
- License
- CC BY 4.0commercial use allowedLicense text
- This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
- Formats
- CSV
- Size
- 20 MB
- Updated
- Dec 10, 2023
Description
This repository was created for my Master's thesis in Computational Intelligence and Internet of Things at the University of Córdoba, Spain. The purpose of this repository is to store the datasets found that were used in some of the studies that served as research material for this Master's thesis. Also, the datasets used in the experimental part of this work are included. Below are the datasets specified, along with the details of their references, authors, and download sources. ----------- STS-Gold Dataset ---------------- The dataset consists of 2026 tweets. The file consists of 3 columns: id, polarity, and tweet. The three columns denote the unique id, polarity index of the text and the tweet text respectively. Reference: Saif, H., Fernandez, M., He, Y., & Alani, H. (2013). Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold. File name: sts gold tweet.csv ----------- Amazon Sales Dataset ---------------- This dataset is having the data of 1K+ Amazon Product's Ratings and Reviews as per their details listed on the official website of Amazon. The data was scraped in the month of January 2023 from the Official Website of Amazon. Owner…
Description from Zenodo, shortened.
Files (8)
- CSVamazon.csv4.5 MB
- CSVsts_gold_tweet.csv191 kB
- CSVdata_rt.csv1.2 MB
- CSVEcoPreprocessed.csv364 kB
- CSVAllProductReviews.csv2.4 MB
- CSVAllProductReviews2.csv1.9 MB
- CSVMusical_instruments_reviews.csv5.8 MB
- CSVMusical_instruments_reviews2.csv3.9 MB
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