Results 11 to 20 of about 64,982 (183)
Estimating News Coverage Patterns using Latent Dirichlet Allocation (LDA)
The growing rate of unstructured textual data has made an open challenge for the knowledge discovery, which aims extracting desired information from large collection of data.
Naeem Ahmed Mahoto
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Indexing by Latent Dirichlet Allocation and Ensemble Model [PDF]
The contribution of this paper is two-fold. First, we present Indexing by Latent Dirichlet Allocation (LDI), an automatic document indexing method. The probability distributions in LDI utilize those in Latent Dirichlet Allocation (LDA), a generative topic model that has been previously used in applications for document retrieval tasks.
Yanshan Wang, Jaesung Lee, Inchan Choi
arxiv +3 more sources
Variable Selection for Latent Dirichlet Allocation [PDF]
In latent Dirichlet allocation (LDA), topics are multinomial distributions over the entire vocabulary. However, the vocabulary usually contains many words that are not relevant in forming the topics. We adopt a variable selection method widely used in statistical modeling as a dimension reduction tool and combine it with LDA. In this variable selection
Dongwoo Kim, Yeonseung Chung, Alice Oh
arxiv +3 more sources
Text Categorization Based on Topic Model [PDF]
In the text literature, many topic models were proposed to represent documents and words as topics or latent topics in order to process text effectively and accurately.
Shibin Zhou, Kan Li, Yushu Liu
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Pengamatan Tren Ulasan Hotel Menggunakan Pemodelan Topik Berbasis Latent Dirichlet Allocation
Ketepatan dalam mengekstrak dan meringkas ribuan ulasan ke dalam beberapa topik menjadi kunci dalam pelaksanaan pengolahan data dan informasi lebih lanjut.
Suparyati Suparyati+2 more
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Discovering Tonal Profiles with Latent Dirichlet Allocation
Music analysis, in particular harmonic analysis, is concerned with the way pitches are organized in pieces of music, and a range of empirical applications have been developed, for example, for chord recognition or key finding. Naturally, these approaches
Fabian C. Moss, Martin Rohrmeier
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Semantic N-Gram Topic Modeling [PDF]
In this paper a novel approach for effective topic modeling is presented. The approach is different fromtraditional vector space model-based topic modeling, where the Bag of Words (BOW) approach is followed.The novelty of our approach is that in phrase ...
Pooja Kherwa, Poonam Bansal
doaj +1 more source
Latent Dirichlet Allocation for Uncovering Fraud Cases on Twitter
Fraud is a phenomenon that continues to exist in society with a modus operandi that continues to evolve with the times. The mode of operation of fraud is continually evolving with technological advancements, globalization, and consumer behavior shifts ...
Sallu Muharomah+1 more
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Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya.
Unsupervised statistical analysis of unstructured data has gained wide acceptance especially in natural language processing and text mining domains. Topic modelling with Latent Dirichlet Allocation is one such statistical tool that has been successfully ...
Leacky Muchene, Wende Safari
doaj +1 more source
Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model [PDF]
The construction of a learning community cannot be separated from the participation of information technology. The current teacher learning community has problems of low interaction efficiency and insufficient enthusiasm for group cooperative teaching ...
Li Gen, Jamil Hazri Bin
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