Text Analytics: Extracting Insights from Textual Data

February 16, 2024 1 Min read Views 43 TECHNOLOGY

The 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

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Text Analytics: Extracting Insights From Textual Data − In the intricate narrative of Text Analytics, our exploration through the dimensions of unstructured data, sentiment analysis, named entity recognition, text categorization, and multilingual challenges....