Application of Natural Language Processing Techniques in a Business Context for Insight Extraction

With the current scenario of high volatility, risk and uncertainty, the continued investment in innovation becomes a survival mechanism for modern businesses. At its core, it represents their ability of noticing oncoming change and leveraging it to get ahead of competitors. Few other technologies have as much to contribute to this end today as Machine Learning and its associated fields, both for prediction and for gaining an advantage. This work proposes the application of Natural Language Processing techniques to perform the sentiment analysis task on the business field, based on public user generated content containing thoughts and opinions on the chosen product. The goal is to evaluate and classify customer reviews obtained through web scraping techniques and manipulating text representation and feature extraction.