In my Sentiment Analysis project, I embarked on a captivating journey of data exploration and analysis. To start, I harnessed the power of REST and streaming APIs to collect a vast dataset from Twitter, which became the foundation of my project's success. First and foremost, data preparation was crucial. I meticulously curated the collected data, ensuring it was primed and ready for the modelling and analysis stages. This involved an in-depth examination of the data, computing essential statistics, and employing rigorous data cleaning techniques to ensure its quality and integrity. Throughout this process, I learned how to handle real-world data challenges, making sure that the dataset was not only comprehensive but also free from inconsistencies and outliers. This painstaking effort laid the groundwork for the subsequent stages of my Sentiment Analysis project.
Jul 01, 2022 - Nov 30, 2022