Natural Language Processing for Social Media 2nd Edition Farzindar Inkpen

This is the expanded Second Edition, providing advanced, practical methodologies for applying Natural Language Processing (NLP) specifically to social media platform streams. It covers the exact frameworks needed by AI engineers, computational linguists, and data scientists to clean, parse, and analyze unstructured social text.Key Technical Areas Covered:

• Linguistic Pre-processing & Toolkits: Deep dive into tokenizers, part-of-speech taggers, chunkers, parsers, and adapting existing NLP toolkits for social media text normalization.
• Sentiment, Emotion & Sarcasm: Advanced semantic analysis, opinion mining, emotion detection, and specialized frameworks for Sarcasm Detection.
• Entity & Location Mapping: Entity linking, disambiguation, and extracting Geo-location data directly from network infrastructure and social media text.
• Information Extraction & Tracking: Event/topic tracking, emergency situation awareness, automatic text summarization, and translating noisy platform text (like hashtags and tweet feeds via Machine Translation).
• Real-World Applications: Dedicated chapters on Healthcare apps, Predicting Voting Intentions, Financial trends, Media monitoring, Security/Defense, and Disaster Response applications.
• Data Ethics & Quality: Covers data collection, annotation benchmarks, Spam/Noise detection, and critical Privacy and Democracy considerations.

Condition Details

• Status: Like New.
• Details: Purchased brand new and only sat on a shelf. The spine is rigid and completely unbroken. Cover corners are perfectly sharp and crisp. All inner pages are immaculate, with zero text highlighting, margin notes, or folded corners.