---
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.