Text mining and Natural Language Processing are highly specialized fields with many specializations within. I'm not an expert in these areas but have read up on them because of the nature my work.

While I would hesitate to call them statistics, familiar statistical methods do play a role and a statistician completely new to these fields probably would not find them bizarre. The same holds for AI. IMO.

Here are a few other books on these subjects I've found helpful if sometimes challenging:

- Foundations of Computational Linguistics (Hausser)
- The Handbook of Computational Linguistics (Clark et al.)
- Sentiment Analysis: Mining Opinions, Sentiments, and Emotions (Liu)
- Neural Network Methods in Natural Language Processing (Goldberg)
- Social Media Intelligence (Moe and Schweidel)
- Natural Language Processing for Social Media (Farzindar and Inkpen)
- Machine Translation (Poibeau)
- Text Mining in Practice with R (Kwartler)

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