Text Analytics: Extracting Insights from Textual Data
February 16, 2024 ⚊ 1 Min read ⚊ Views 43 ⚊ TECHNOLOGYThe text explores text analytics, a field that extracts insights from unstructured data like customer reviews and social media. It discusses challenges like language variability and introduces key techniques like Natural Language Processing (NLP) and sentiment analysis. Named Entity Recognition (NER) and text categorization are also highlighted. The text emphasizes the transformative potential of text analytics for businesses and suggests pursuing a Data Science certification course for mastering these techniques. Overall, it portrays text analytics as crucial for making informed decisions in the data-driven era.
Tags: data analytics