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Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric
2020
International Journal of Early Childhood Special Education
Social networks are an excellent source for users to share or exchange information on topics. Twitter is the most prioritized social network concerning the issues of children with special needs related topics of social users. Extracting good quality of topics from twitter corpus depends on the quality of text pre-processing and in finding optimal cluster tendency. With traditional topic models, cluster tendency identification is difficult because they use less frequent words in tweets. In
doi:10.9756/int-jecse/v12i1.201003
fatcat:tvzv7qr4obef7bi6z3sj4ed4fa