A lightweight semantic‐enhanced interactive network for efficient short‐text matching
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.24731
Abstract: Knowledge‐enhanced short‐text matching has been a significant task attracting much attention in recent years. However, the existing approaches cannot effectively balance effect and efficiency. Effective models usually consist of complex network structures leading to slow… read more here.
Keywords: short text; network; lightweight semantic; text matching ... See more keywords
Term weighting scheme for short-text classification: Twitter corpuses
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3298-8
Abstract: Term weighting is a well-known preprocessing step in text classification that assigns appropriate weights to each term in all documents to enhance the performance of text classification. Most methods proposed in the literature use traditional… read more here.
Keywords: text classification; short text; term weighting; term ... See more keywords
Improving short-text representation in convolutional networks by dependency parsing
Sign Up to like & getrecommendations! Published in 2018 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-018-1312-9
Abstract: Automatic question answering (QA) system is the inevitable trend of future search engines. As the essential steps of QA, question classification and text retrieval both require algorithms to capture the semantic information and syntactic structure… read more here.
Keywords: convolutional networks; dependency; improving short; short text ... See more keywords
A Dirichlet process biterm-based mixture model for short text stream clustering
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DOI: 10.1007/s10489-019-01606-1
Abstract: Short text stream clustering has become an important problem for mining textual data in diverse social media platforms (e.g., Twitter). However, most of the existing clustering methods (e.g., LDA and PLSA) are developed based on… read more here.
Keywords: stream clustering; text stream; text; short text ... See more keywords
Dynamic clustering for short text stream based on Dirichlet process
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DOI: 10.1007/s10489-021-02263-z
Abstract: Due to the explosive growth of short text on various social media platforms, short text stream clustering has become an increasingly prominent issue. Unlike traditional text streams, short text stream data present the following characteristics:… read more here.
Keywords: based dirichlet; dynamic clustering; text stream; text ... See more keywords
A Robust User Sentiment Biterm Topic Mixture Model Based on User Aggregation Strategy to Avoid Data Sparsity for Short Text
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1225-5
Abstract: Sentiment analysis is a process of computationally finding the opinions that are expressed in a short text or a feedback by a writer towards a particular topic, product, service. The short piece of review from… read more here.
Keywords: robust user; sentiment; model; text ... See more keywords
Leveraging Knowledge-Based Features with Multilevel Attention Mechanisms for Short Arabic Text Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3175306
Abstract: With the wide spread of short texts through social media platforms, there has become a growing need for effective methods for short-text classification. However, short-text classification has always been challenging due to the ambiguity and… read more here.
Keywords: short text; classification; knowledge; text ... See more keywords
SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2982148
Abstract: Linking authors of short-text contents has important usages in many applications, including Named Entity Recognition (NER) and human community detection. However, certain challenges lie ahead. First, the input short-text contents are noisy, ambiguous, and do… read more here.
Keywords: temporal textual; text; short text; author linking ... See more keywords
Short-Text Classification Detector: A Bert-Based Mental Approach
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8660828
Abstract: With the continuous development of the Internet, social media based on short text has become popular. However, the sparsity and shortness of essays will restrict the accuracy of text classification. Therefore, based on the Bert… read more here.
Keywords: mental features; short text; classification; accuracy ... See more keywords
Investigating Multi-Level Semantic Extraction with Squash Capsules for Short Text Classification
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DOI: 10.3390/e24050590
Abstract: At present, short text classification is a hot topic in the area of natural language processing. Due to the sparseness and irregularity of short text, the task of short text classification still faces great challenges.… read more here.
Keywords: short text; classification; extraction; level ... See more keywords