In this project, I utilized the RoBERTa model to conduct sentiment analysis on user personas, determining the prevailing emotions among Instagram users globally and in selected regions. Subsequently, I delved into hashtag analysis to uncover the underlying emotions associated with them. This comprehensive project encompasses data validation, ETL processes, sentiment analysis, and an investigation into data integrity to ensure its reliability.
To work with this project, you'll need to have Python installed, along with these libraries: numpy, pandas, seaborn, sklearn, matplotlib.pyplot, ast, transformers, warning
You can download the dataset of this project from the following link: instagram Dataset
Tool |
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Python |
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Pandas |
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Sentiment Analysis |
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Statistics |
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Data Cleaning |
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Exploratory Data Analysis |
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If you have any suggestions or feedback, you can reach me via email at saeedshirani7878@gmail.com
or visit my LinkedIn profile:
