Assessing Accuracy: A Study of Lexicon and Rule-Based Packages in R and Python for Sentiment Analysis
Author:
Affiliation:
1. Management in Networked and Digital Societies (MINDS) Department, Kozminski University, Warsaw, Poland
Funder
Narodowe Centrum Nauki
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10398176.pdf?arnumber=10398176
Reference26 articles.
1. More than words: Social networks’ text mining for consumer brand sentiments
2. Sentiment analysis on social media for stock movement prediction
3. Harvesting social media sentiment analysis to enhance stock market prediction using deep learning
4. Using four different online media sources to forecast the crude oil price
5. Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset
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