Some things that NLPs may not take into account: 

- Individual personality differences
- cultural differences
- those in non-western countries are left out/their ideas may not be represented
- gender differences

Why Expression of Data Biases in Natural Language Processing might be an issue

An individual will use their own language to express their emotions online as well as the data they produce.

Santa Clara University

1. Expression of Data
2. Analysis of Data
3. Interpretation of Data 

Potential Biases of Natural Language Processing

Straw, I and Callison-Burch, C. (2020). Research Article: Artificial Intelligence in mental health and the biases of language-based models. Plos One, Vol 15 (issue 12), 1-19. https://doi.org/10.1371/journal.pone.0240376

Research Article: Artificial Intelligence in mental health and the biases of language-based models

Potential Biases of Natural Language Processing: Expression of Data

The algorithm in the NLP system may have it's own biases because it goes off a chosen model, training data, features, and word embeddings. 

Potential Biases of Natural Language Processing: Analysis of Data

There may be biases in how practitioners interpret data and what they've already been trained to know. 

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