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Summary of text classification methods
网络与信息安全学报, 2019 How to effectively classify text has become a hot topic.Firstly,the concept of text classification,word segmentation,feature extraction and text classification methods were introduced,and the research actuality was summarized.And then the challenges of ...
You YU, Yu FU, Xiaoping WU
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A review of semi-supervised learning for text classification
Artificial Intelligence Review, 2023 A huge amount of data is generated daily leading to big data challenges. One of them is related to text mining, especially text classification. To perform this task we usually need a large set of labeled data that can be expensive, time-consuming, or ...
José Márcio Duarte, Lilian Berton
semanticscholar +1 more source
Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining
Informatics, 2013 Numerous initiatives have allowed users to share knowledge or opinions using collaborative platforms. In most cases, the users provide a textual description of their knowledge, following very limited or no constraints.
Eric Charton +3 more
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MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 This paper presents MixText, a semi-supervised learning method for text classification, which uses our newly designed data augmentation method called TMix.
Jiaao Chen, Zichao Yang, Diyi Yang
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Measurement: Sensors, 2023 Text classification technique is advancing rapidly alongside AI technology, showing signs of maturity. Moreover, there are always many unrestricted constraints that text classification must deal with in practical settings.
Myagmarsuren Orosoo +6 more
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Evolving text classification rules with genetic programming [PDF]
, 2005 We describe a novel method for using genetic programming to create compact classification rules using combinations of N-grams (character strings). Genetic programs acquire fitness by producing rules that are effective classifiers in terms of precision ...
Anthony N. +14 more
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Twenty Years of Machine-Learning-Based Text Classification: A Systematic Review
Algorithms, 2023 Machine-learning-based text classification is one of the leading research areas and has a wide range of applications, which include spam detection, hate speech identification, reviews, rating summarization, sentiment analysis, and topic modelling. Widely
Ashokkumar Palanivinayagam +2 more
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Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches [PDF]
International Conference on Natural Language Processing and Information Retrieval, 2022 Text classification of unseen classes is a challenging Natural Language Processing task and is mainly attempted using two different types of approaches. Similarity-based approaches attempt to classify instances based on similarities between text document
Tim Schopf, Daniel Braun, F. Matthes
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ELMo-CNN-BiGRU Dual-Channel Text Sentiment Classification Model [PDF]
Jisuanji gongcheng, 2022 Text sentiment classification helps users make better decisions by analyzing and reasoning subjective texts with emotional colors.Addressing the difficulty in adjusting the word vector according to the context information in traditional sentiment ...
WU Di, WANG Ziyu, ZHAO Weichao
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Feature-enhanced text-inception model for Chinese long text classification
Scientific Reports, 2023 To solve the problem regarding unbalanced distribution of multi-category Chinese long texts and improve the classification accuracy thereof, a data enhancement method was proposed.
Guo Yang +4 more
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