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This publication explores how natural language processing (NLP) techniques can be applied to social media text data to map public sentiment and inform development research and policy making.

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Australia ,Philippines , ,Sustainable Development Goals ,Sustainable Development ,Case Studies ,Climate Change ,Covid 19 ,Data Innovation ,Document Clustering ,K Means ,Keyword Extraction ,Latent Dirichlet Allocation ,Kiwc ,Natural Language Processing ,Python Programming ,Sentiment Analysis ,Entiwordnet ,Social Media ,Sdgs ,Next Data ,

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