This book analyses new software tools and social media data that can be used to explore the attitudes of people in urban places. It reports on the findings of several research projects that have have experimented with using microblogging data in conjunction with diverse quantitative and qualitative methods, including content analysis and advanced multivariate statistics.
Applied researchers, planners and policy makers have only recently begun to explore the potential of Big Data to help understand social attitudes and to potentially inform local policy and development decisions. This book provides an original analysis into how Twitter can be used to describe the urban experience and people's perception of place, as well as offering significant implications for public policy. It will be of great interest to researchers in human geography, social media, cultural studies and public policy.
Chapter 1. Introduction.- Chapter 2. A Short History of Big Data Analysis.- Chapter 3. Taking Microblogging Data for a Test Drive.- Chapter 4. A Close Look at Urban Immigrant Communities.- Chapter 5. A National Comparison: Twitter vs. The American Housing Survey.- Chapter 6. Conclusion.
This book presents the development of tools that can be used to analyse Twitter data for sentiment analysis, in order to mine the attitudes of people in urban places. & this book presents these issues in a clear and progressive manner. Therefore, I would recommend it for researchers looking to gain an understanding of the fundamental concepts of utilizing Twitter data for sentiment-analysis purposes. (Alyson Lloyd, International Journal of Urban and Regional Research, Vol. 42 (3), May, 2018)
This work is grounded in computational linguistics and data mining. Urban SocialƒY
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