Results 251 to 260 of about 306,626 (287)

LDA Meets Word2Vec: A Novel Model for Academic Abstract Clustering

The Web Conference, 2018
Clustering narrow-domain short texts, such as academic abstracts, is an extremely difficult clustering problem. Firstly, short texts lead to low frequency and sparseness of words, making clustering results highly unstable and inaccurate; Secondly, narrow
Changzhou Li, Yao Lu, Junfeng Wu, Yongrui Zhang, Zhongzhou Xia, Tianchen Wang, Dantian Yu, Xurui Chen, Peidong Liu, Junyu Guo   +9 more
semanticscholar   +1 more source

An Improved LDA Approach

2006
This chapter gives an improved LDA (ILDA) approach. After a short review and comparison of major linear discrimination methods, including the eigenface method, fisherface method, DLDA and UODV, we introduce definitions and notations. Then, the approach description of ILDA is presented. Next, we show some experimental results. Finally, we summarize some
David Zhang, Xiao-Yuan Jing, Jian Yang
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A new direct LDA (D-LDA) algorithm for feature extraction in face recognition

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004
The problem of determining the optimal set of discriminant vectors for feature extraction in pattern recognition is investigated. We propose a new direct LDA (D-LDA) method that is applicable to small sample size (SSS) problems often arising in face recognition.
Josef Kittler, Wu Xiaojun, Yang Jing-yu, Wang Shitong, Kieron Messer   +4 more
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LDA topics: Representation and evaluation

Journal of Information Science, 2015
In recent years many automated topic coherence formulas (using the top- m words of a topic inferred by latent Dirichlet allocation) based on word similarities have been proposed and evaluated against human ratings. We treat a wordy topic as an object and quantitatively describe it via normalized mean values of pair-wise word similarities. Two types of
Byung-Won On, Muhammad Nor Omar, Gyu Sang Choi, Ingyu Lee   +3 more
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WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering

2017 IEEE International Conference on Web Services (ICWS), 2017
Due to the rapid growth in both the number and diversity of Web services on the web, it becomes increasingly difficult for us to find the desired and appropriate Web services nowadays. Clustering Web services according to their functionalities becomes an
Min Shi, Jianxun Liu, Dong Zhou, Mingdong Tang, Buqing Cao   +4 more
semanticscholar   +1 more source

Bayesian Approach for LDA [PDF]

, 2010
To meet the Basel II regulatory requirements for the Advanced Measurement Approaches, a bank’s internal model must include the use of internal data, relevant external data, scenario analysis and factors reflecting the business environment and internal control systems.
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Topic Detection from Microblogs Using T-LDA and Perplexity

2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW), 2017
Due to the short-form and large amount of microblogs, traditional latent dirichlet allocation (LDA) cannot be effectively applied to mining topics from the microblog contents.
Ling Huang, Jinyu Ma, Chunling Chen
semanticscholar   +1 more source

LDA*: A Robust and Large-scale Topic Modeling System

Proceedings of the VLDB Endowment, 2017
We present LDA*, a system that has been deployed in one of the largest Internet companies to fulfil their requirements of "topic modeling as an internal service"---relying on thousands of machines, engineers in different sectors submit their data, some ...
Lele Yu, B. Cui, Ce Zhang, Yingxia Shao
semanticscholar   +1 more source

LDA for on-the-fly auto tagging

Proceedings of the fourth ACM conference on Recommender systems, 2010
In this paper, we propose a method for automatic tagging sparse and short textual resources. In the presence of a new resource, our method creates an ad hoc corpus of related resources, then applies Latent Dirichlet Allocation (LDA) to elicit latent topics for the resource and the associated corpus.
Wolfgang Nejdl, Mihai Georgescu, Avaré Stewart, Ernesto Diaz-Aviles   +3 more
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LDA Application Examples

2010
One of the most successful applications of the LDA method in flow measurements is the measurement of the high speed jet in a Pelton turbine.
openaire   +2 more sources