Short Text Classification
Distributional Representations of Words for Short Text Classification
... in short text classification (STC) through word embeddings – distribu- tional representations of words learned from large unlabeled ...Wikipedia text. We assume that a short text ...
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“How Short is a Piece of String?”: An Investigation into the Impact of Text Length on Short-Text Classification Accuracy
... enrich short texts by the addition of extra features designed to make matching, clustering and classification ...of short text classification, first giving an overview of the special ...
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Falcon: A Novel Chinese Short Text Classification Method
... the short text classification is still a research hot topic, with obviously problem in the features sparse, high-dimensional text data and feature ...express text directly, a simple but ...
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CiteSeerX — Concept-based short text classification and ranking
... for short text clas- sification and ranking ...for short text classification, our framework has two advan- tages: i) It measures the semantic similarities between short texts ...
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ClassiNet - Predicting Missing Features for Short-Text Classification.
... such short-texts into a pre-defined set of categories is a common problem that arises in various contexts, such as sentiment classification, spam detection, and information ...in short-text ...
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Short Text Classification Research Based on TW-CNN
... English text classification, with modeling CNN based on texts, using static vectors and training CNN (Yoon Kim ...Chinese short text ...a short text classification ...
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Deep Short Text Classification with Knowledge Powered Attention
... the short text S3: “Bill Gates is one of the co-founders of Microsoft”, we re- trieve the concepts person and entrepreneur of Bill Gates from ...the short text represen- tation, but without ...
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Vietnamese Short Text Classification via Distributed Computation
... Keywords—Short text classification; Na¨ıve Bayes; Apache Spark; Vietnamese; distributed computation I. I NTRODUCTION Social networking, also called virtual social network is a service that connects ...
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Cluster Gated Convolutional Neural Network for Short Text Classification
... 5 Conclusion In this paper, we propose a joint model that couples clustering and classification methods. It employs a BiLSTM to learn word representations for local contexts in short texts. We take a soft ...
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Sequential Short Text Classification with Recurrent and Convolutional Neural Networks
... for short-text classification. However, many short texts occur in sequences ...preceding short texts when classifying a subsequent ...
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Feature Selection for Short Text Classification using Wavelet Packet Transform
... how short text classification task can be benefited by feature selection using WPT due to their sparse ...several short text ...overall classification performance significantly ...
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Short Text Classification Based on Latent Topic Modeling and Word Embedding
... the short text and the lack of training ...the short texts have been transformed to long and sparse vectors when using BOW representation, which drastically decrease the performance of the ...in ...
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Short Text Classification Using An Enhanced Term Weighting Scheme And Filter-Wrapper Feature Selection
... 2.1 Short-text Classification Text classification is the process of assigning documents to correct labels of predefined ...classes. Short text classification, on ...
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How Short is a Piece of String?: the Impact of Text Length and Text Augmentation on Short-text Classification Accuracy
... target text to mine relevant Wikipedia pages, and then calculate the distances between Wikipedia pages using a simple shortest path graph traversal metric to assign distances between target ...trims short ...
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Chinese Short Text Classification Based on Domain Knowledge
... There have been several studies that attempted to solve the problem of data sparseness in VSM. One way is to select more useful features using additional semantics from Wikipedia (Banerjee et al. ,2007), WordNet (Hu et ...
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Term Based Semantic Clusters for Very Short Text Classification
... a text representation that does not fo- cus on the importance of individual terms for the ...very short text and domain-specific applications, where occurring terms are both strong indicators of the ...
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Heterogeneous Graph Attention Networks for Semi supervised Short Text Classification
... (a) K: Number of topics. (b) P : Top P relevant topics. Figure 4: The average accuracy with different number of topics and top relevant topics on AGNews. pretrain, GCN-HIN, TextGCN and HGAT, to study the impact of the ...
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Fast Applying Threads for Short Text Classification Using Naive Bayes
... of text data is a new challenge. Recently the focus of text analysis is shifted towards short ...between short texts is an important task that can be used for various applications including ...
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Utilizing lexical relationship in term based similarity measure to improve Indonesian short text classification
... During the SWOT analysis session, the organization divided participants into 4 groups. Each group was asked to express their ideas on strengths and weaknesses of the organization, and opportunities and threats that they ...
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An Arguing Lexicon for Stance Classification on Short Text Comments in Chinese
... binary classification task using these linguistic features and was able to reach an average of 71 percent ...the classification task is done for future work on better accuracy for such ...
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