metadata
license: mit
Data Collection
The sentiment data used in this project was collected manually. The dataset, stored in an Excel file (Sentiment.xlsx), includes text samples with corresponding sentiment labels. Details about the manual data collection process, sources, and criteria are explained in the data collection section of the code.
Data Cleaning
Before training the sentiment analysis model, the collected data undergoes a cleaning process. The clean_text function is applied to each text sample, which includes tasks such as lowercasing, HTML tag removal, punctuation removal, and lemmatization. The cleaned data is then used for model training.