%0 Journal Article %1 PakParoubek2010 %A Pak, A. %A Paroubek, P. %D 2010 %K sentiment_analysis opinion_mining twitter corpus related_works_benchmark posted_with_chatgpt %T Twitter as a Corpus for Sentiment Analysis and Opinion Mining

@article{PakParoubek2010, added-at = {2023-09-22T12:35:05.000+0200}, author = {Pak, A. and Paroubek, P.}, biburl = {https://www.bibsonomy.org/bibtex/211d103df7d62f72d5d3cbb4d12dfec89/tomvoelker}, description = {This paper by A. Pak and P. Paroubek focuses on using Twitter for sentiment analysis. It presents methods to automatically collect a corpus for sentiment analysis and opinion mining purposes and performs linguistic analysis of the collected corpus. The paper also builds a sentiment classifier that can determine positive, negative, and neutral sentiments for a document, showing efficiency and improved performance over previous methods.}, interhash = {ac930b0459a3c8a2fc2d74c52a475026}, intrahash = {11d103df7d62f72d5d3cbb4d12dfec89}, keywords = {sentiment_analysis opinion_mining twitter corpus related_works_benchmark posted_with_chatgpt}, timestamp = {2023-09-22T12:35:05.000+0200}, title = {Twitter as a Corpus for Sentiment Analysis and Opinion Mining}, year = 2010 }