Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric
Yıl: 2020 Cilt: 12 Sayı: 1 Sayfa Aralığı: 159 - 184 Metin Dili: İngilizce DOI: 10.9756/INT-JECSE/V12I1.201003 İndeks Tarihi: 31-10-2020
Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric
Öz: Social networks are an excellent source for users to share or exchange information ontopics. Twitter is the most prioritized social network concerning the issues of children withspecial needs related topics of social users. Extracting good quality of topics from twittercorpus depends on the quality of text pre-processing and in finding optimal clustertendency. With traditional topic models, cluster tendency identification is difficult becausethey use less frequent words in tweets. In traditional topic models, k value (number ofclusters) decided manually and used Euclidean distance metric in most methods andcosine distance metrics in some methods. Proper Visualization of cluster tendency is alsoessential as corpus consists of a large number of documents and billions of words. In thispaper, hybrid topic models with multi-viewpoints based similarity metric proposed toVisualize topic clouds, to find cluster tendency of various topics related to issues ofchildren with special needs twitter datasets. Experimental evaluation and comparison ofthese proposed hybrid models done with other distance metrics. Empirical analysisperformed with convergence speed and computational complexities. Cluster validity ofproposed models done with external validity indices to quantify the quality of cluster andwith internal validity indices to evaluate clustering structure. Visual Non-MatrixFactorization (VIS NMF) under multi-viewpoints similarity metric performed well thanother models with a more informative assessment.
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| APA | NOORULLAH R, MOHAMMED M (2020). Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric. , 159 - 184. 10.9756/INT-JECSE/V12I1.201003 |
| Chicago | NOORULLAH R.M.,MOHAMMED Moulana Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric. (2020): 159 - 184. 10.9756/INT-JECSE/V12I1.201003 |
| MLA | NOORULLAH R.M.,MOHAMMED Moulana Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric. , 2020, ss.159 - 184. 10.9756/INT-JECSE/V12I1.201003 |
| AMA | NOORULLAH R,MOHAMMED M Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric. . 2020; 159 - 184. 10.9756/INT-JECSE/V12I1.201003 |
| Vancouver | NOORULLAH R,MOHAMMED M Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric. . 2020; 159 - 184. 10.9756/INT-JECSE/V12I1.201003 |
| IEEE | NOORULLAH R,MOHAMMED M "Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric." , ss.159 - 184, 2020. 10.9756/INT-JECSE/V12I1.201003 |
| ISNAD | NOORULLAH, R.M. - MOHAMMED, Moulana. "Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric". (2020), 159-184. https://doi.org/10.9756/INT-JECSE/V12I1.201003 |
| APA | NOORULLAH R, MOHAMMED M (2020). Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric. INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION, 12(1), 159 - 184. 10.9756/INT-JECSE/V12I1.201003 |
| Chicago | NOORULLAH R.M.,MOHAMMED Moulana Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric. INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION 12, no.1 (2020): 159 - 184. 10.9756/INT-JECSE/V12I1.201003 |
| MLA | NOORULLAH R.M.,MOHAMMED Moulana Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric. INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION, vol.12, no.1, 2020, ss.159 - 184. 10.9756/INT-JECSE/V12I1.201003 |
| AMA | NOORULLAH R,MOHAMMED M Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric. INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION. 2020; 12(1): 159 - 184. 10.9756/INT-JECSE/V12I1.201003 |
| Vancouver | NOORULLAH R,MOHAMMED M Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric. INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION. 2020; 12(1): 159 - 184. 10.9756/INT-JECSE/V12I1.201003 |
| IEEE | NOORULLAH R,MOHAMMED M "Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric." INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION, 12, ss.159 - 184, 2020. 10.9756/INT-JECSE/V12I1.201003 |
| ISNAD | NOORULLAH, R.M. - MOHAMMED, Moulana. "Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric". INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION 12/1 (2020), 159-184. https://doi.org/10.9756/INT-JECSE/V12I1.201003 |
