Software Open Access
Giovanni Spitale;
Federico Germani;
Nikola Biller - Andorno
The purpose of this tool is performing NLP analysis on Telegram chats. Telegram chats can be exported as .json files from the official client, Telegram Desktop (v. 2.9.2.0).
The files are parsed, the content is used to populate a message dataframe, which is then anonymized.
The software calculates and displays the following information:
The software outputs:
Dependencies:
This code is optimized for Italian, however:
The code is structured in a Jupyter-lab notebook, heavily commented for future reference.
The software comes with a toy dataset comprised of Wikiquotes copy-pasted in a chat created by the research group. Have fun exploring it.
Name | Size | |
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telegram social listening v1.0.1.zip
md5:2b624215bed80522138e544cd3bbf9ac |
3.4 MB | Download |
Bianchi F, Nozza D, Hovy D. FEEL-IT: Emotion and Sentiment Classification for the Italian Language. In: Proceedings of the 11th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Association for Computational Linguistics; 2021. https://github.com/MilaNLProc/feel-it
All versions | This version | |
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Views | 253 | 238 |
Downloads | 13 | 11 |
Data volume | 49.6 MB | 37.8 MB |
Unique views | 229 | 222 |
Unique downloads | 11 | 11 |