This project aims to investigate some statistics of tweets with the search word of "LGBT", and then perform sentiment analysis to differentiate between pride month sentiments compared to other times.
To observe the investigation load LGBT_sentiments_from_tweets.ipynb, that is the script for the whole flow (Make sure to install the needed requirements for execution), which includes all of the outputs of the execution.
The sentiment analysis is done using roberta (hugging faces).
Data is stored as no-sql mongoDB (docker) and is manipulated both via the collection and pandas.
Citing sentiment analyzer:
@inproceedings{rosenthal2017semeval, title={SemEval-2017 task 4: Sentiment analysis in Twitter}, author={Rosenthal, Sara and Farra, Noura and Nakov, Preslav}, booktitle={Proceedings of the 11th international workshop on semantic evaluation (SemEval-2017)}, pages={502--518}, year={2017}, }
Citing hate speech detection:
@inproceedings{basile-etal-2019-semeval, title = "SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter author = "Basile, Valerio and Bosco, Cristina and Fersini, Elisabetta and Nozza, Debora and Patti, Viviana and Rangel Pardo, Francisco Manuel and Rosso, Paolo and Sanguinetti, Manuela booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation year = "2019",\n", address = "Minneapolis, Minnesota, USA, publisher = "Association for Computational Linguistics, url = "https://www.aclweb.org/anthology/S19-2007\, doi = "10.18653/v1/S19-2007, pages = "54--63
}