[PDF] Top 20 Network Topic Detection Model Based on Text Reconstructions
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Network Topic Detection Model Based on Text Reconstructions
... in topic detection and tracking. It is a key part of network topic detection ...vector model is used to denote ...the model based on text reconstruction ... See full document
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A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
... Stance detection aims to determine from a text whether its author is in favor of, against, or neutral to- wards a given ...a text may not explicitly express an attitude towards the target, but ... See full document
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TopicSpam: a Topic Model based approach for spam detection
... spam detection as a text categorization prob- lem and was first introduced by Jindal and Liu (2009) who trained a supervised classifier to dis- tinguish duplicated reviews (assumed deceptive) from original ... See full document
5
Survey on Image Text Detection and Recognition of Natural Scene Images
... neural network based scene text detection algorithm along with a new text region extractor wasproposed to improve the independency and completeness of the extract candidate text ... See full document
5
Text Clustering Incremental Algorithm in Sensitive Topic Detection
... Bag-of-Word model, in this paper, firstly, we propose to use ICTCLAS for word ...word based on value tablet of character term calculated in ...term based on news text feature ...extract ... See full document
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Joint Sentiment-Topic Detection from Text Document
... and topic simultaneously from text is relatively ...]. Topic-sentiment model (TSM) [7] models the mixture of topics and sentiments simultaneously from ...is based on the probabilistic ... See full document
5
Research on LAK Algorithm for Short Text Topic Detection
... microblog text firstly, use the LDA model to extract the topic-vocabulary distribution, and then use the LAK algorithm proposed in this paper to cluster the text to find the ...space ... See full document
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Off topic Response Detection for Spontaneous Spoken English Assessment
... the detection of responses for which an automatic assessment system will have diffi- culty in assigning a valid score, of which off- topic responses are a specific ...features based on co- sine ... See full document
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TIDM: Topic-Specific Information Detection Model
... and detection on the social network have become a problem that we should solve as soon as ...challenge based on the traditional text mining methods such as Topic ...raw text ... See full document
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Text Detection Model Based on Parallel SVM Algorithm
... vehicle model are re- quired to be recognized in daily traffic ...of text information, and the information is often incomplete due to the action of ...The text plays a mainstay role in scientific and ... See full document
5
Topic-based Social Influence Measurement for Social Networks
... conversations based on PageRank. For that purpose they build a topic information exchange graph to take the information diffusion and degree of information shared into account for user influence ...seven ... See full document
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Group topic-author model for efficient discovery of latent social astroturfing groups in tourism domain
... event detection from multimedia content. This solution is based on LDA model for topic model- ...a topic model based on text clustering for important ... See full document
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An Extractive Summarization of Document Using Conceptual Mining and Sentence Ranking
... concept based model a test text document of any four topic (computer network, data mining, machine learning, image processing) is given as input, and the output will be the topic ... See full document
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A PRAGMATIC TEXT MINING ANALYSIS OF DEMONETISATION MOVE BASED ON TOPIC MODEL AND TWITTER COMMUNICATIONS
... understanding, topic models using Latent Dirichlet Allocation (Gibbs Method) was conducted on the corpus of ...LDA topic model was run with 10 topics as criteria and the output was highlighted in the ... See full document
5
Authorship Attribution with Author aware Topic Models
... size, topic-based methods were more strongly affected than SVM by the transi- tion from the 1,000 author subset to the full ...because topic-based methods use a single model, making ... See full document
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IJCSMC, Vol. 4, Issue. 10, October 2015, pg.326 – 330 REVIEW ARTICLE A REVIEW ON TECHNIQUES TO FILTER THE UNWANTED MESSAGES ON USER WALLS
... neural network and a support vector ...keyword based approach and a lexicon-based ...in topic-specific search engine development and other Web applications such as Web content ... See full document
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An LDA-based Topic Selection Approach to Language Model Adaptation for Handwritten Text Recognition
... Huge amounts of handwritten historical docu- ments are nowadays being published by on-line digital libraries as document images. The content of these documents is of great interest to histori- ans, linguists and literary ... See full document
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Short Text Understanding by Leveraging Knowledge into Topic Model
... over Topic Coherence Met- ric are presented in Figure 2 and Figure ...our model and BTM can get high- er topic coherence score than GK-LDA and DF- LDA, which means the self-defined knowledge and the ... See full document
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Topic Detection Based on Dialogue History
... ????????? ? ???? ??????????????????????????????? ????????????? "!?#$????????%?&'%?()? &'??*" ???+ ,? ????/(/,0#$,??012???435??6?!?12?? ?!?12?",?#7?? ?8?9 9)!?1<;?!?1@?@>@? ??&A?B????C???[.] ... See full document
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A Bimodal Network Approach to Model Topic Dynamics
... underlying topic dynamics which explain ...the model as in the DTM, but it is introduced ex-post in the empirical analysis by looking at the similarities (co-occurrence of words) amongst topics generated by ... See full document
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