Project information
- Category: Text Classification and building ML Model/li>
- Type: Personal Project
- Project date: 30 December, 2023
Applied Text Mining using Python project detail
Text mining using Python involves extracting valuable insights from unstructured text data. Natural Language Processing (NLP) plays a pivotal role in this process, enabling the machine to understand and interpret human language. Techniques such as Naive Bayes and Support Vector Machine (SVM) are commonly employed for text classification tasks, helping to categorize documents based on their content. In sentiment analysis, a subset of NLP, Python facilitates the analysis of emotions expressed in text, allowing for the identification of positive, negative, or neutral sentiments. These tools collectively empower data scientists to harness the power of language to derive meaningful information and sentiment patterns from textual data.