What are the applications of unstructured data analysis?

What are the applications of unstructured data analysis?

Unstructured data analysis can be applied in various fields such as healthcare, finance, and marketing. For instance, in healthcare, it helps in analyzing patient records and social media to improve patient care.

Can you give me specific examples in marketing?

Sure! In marketing, unstructured data analysis can be used to analyze customer reviews, social media interactions, and online behavior to tailor marketing strategies and improve customer engagement.

How does it work technically?

Technically, it involves natural language processing (NLP) and machine learning algorithms to extract insights from text, images, and videos that are not organized in a predefined manner.

What tools are commonly used for this analysis?

Common tools include Apache Hadoop, Apache Spark, and various NLP libraries like NLTK and SpaCy, which help in processing and analyzing large volumes of unstructured data.