The key techniques in computational linguistics that are relevant to epidemiology include:
Text mining: Extracting useful information from large text datasets. Sentiment analysis: Measuring the emotional tone of text to gauge public sentiment. Named entity recognition (NER): Identifying specific entities such as diseases, locations, and people in text. Topic modeling: Discovering the main themes or topics within a set of documents. Machine learning: Building predictive models from text data.