Transformer- and Lexicon-based Sentiment Analysis (TLSA)

Step 1: Fill in the CSV template on your local computer. TLSA currently supports English only.

Note: (i) The "text" column is required whereas the "label" column is optional. If the "label" column is filled in, it can be treated as the reference and the predictive quality be evaluated accordingly. (ii) Shorter texts (e.g., a tweet or a sentence of an article) are preferred, as a long text is more likely to contain mixed sentiments and be wrongly classified as neutral.

Step 2: Select your CSV file.

Citation:

Zhao, X., & Wong, C.-W. (2023). Automated measures of sentiment via transformer- and lexicon-based sentiment analysis (TLSA). Journal of Computational Social Science. https://doi.org/10.1007/s42001-023-00233-8
Zhao, X., & Wong, C. W. (2023). Transformer- and lexicon-based sentiment analysis as a web service. In 73rd Annual Conference of International Communication Association (ICA'23), Computational Methods Division. May 25-29, 2023. Toronto, Canada.