Detecting and Theorizing Place Sentiment in Big Data

The area of sentiment analysis aims at extracting and summarizing writers’ feelings from raw text. Knowing what people think about a given object has a wide range of scientific and commercial applications. This project investigates sentiment analysis focused on places, tapping a variety of novel digitized data sources, including travel blog, travel literature, and social media. Tailoring data mining and natural language processing techniques to geographic objects can provide insights about the complex relationship between places and humans.

Tagssentiment analysis, opinion mining, place, natural language processing


Lecturer, King's College London