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A Comprehensive Guide to the main components of Big Data

Pickl AI

Data Processing Frameworks Processing frameworks are essential for analysing large datasets efficiently. Natural Language Processing (NLP): NLP techniques analyse textual data from sources like customer reviews or social media posts to derive sentiment analysis or topic modelling.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

Data Processing Frameworks Processing frameworks are essential for analysing large datasets efficiently. Natural Language Processing (NLP): NLP techniques analyse textual data from sources like customer reviews or social media posts to derive sentiment analysis or topic modelling.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

5. Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. To ascertain the general sentiment and deal with any potential problems, use natural language processing (NLP) tools.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

They assist in efficiently managing and processing data from multiple sources, ensuring smooth integration and analysis across diverse formats. Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing.