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Micro-Blog Sentiment Classification Method Based on the Personality and Bagging Algorithm

Wenzhong Yang, Tingting Yuan, Liejun Wang
2020 Future Internet  
The micro-blog text is first classified using five personality basic emotion classifiers and a general emotion classifier.  ...  Personality can significantly influence user expressions but is seldom accounted for in emotional classification.  ...  , and Thanks for Huang Xianke's support and help.  ... 
doi:10.3390/fi12040075 doaj:878e3713239c4f208b66cbc8f585c0d9 fatcat:gq7ti3csrffc7bgkahrcpsaahq

AUTOMATICALLY CLASSIFYING PUBMED ABSTRACTS AS BENCH OR BEDSIDE

2017 Issues in Information Systems  
We introduce a classification task that groups PubMed abstracts into categories of basic science and clinical research.  ...  Algorithms are evaluated using precision, recall and f-measure measurements.  ...  How high of precision and recall can be achieved given the two classification groups of basic research and clinical research? 2.  ... 
doi:10.48009/1_iis_2017_22-30 fatcat:6fccthcofncvvca5lzsparkwzi

Modules for Mental and Physical Health States Analysis based on User Text Input

Artem Bashtovyi, Andriy Fechan, Vitaliy Yakovyna
2021 International Workshop on Informatics & Data-Driven Medicine  
In this work, we built the module for mental illness classification, which can identify mental states based on human text input.  ...  The platform will allow daily journaling and automatically identify user mental and physical states based on the texts.  ...  Table 2 shows epoch details: The results from Table 4 gives us precise information about text analysis and specific classes prediction.  ... 
dblp:conf/iddm/BashtovyiFY21 fatcat:ugfc33b3n5fwlipspuorj24m4m

Research on the Classification Modeling for the Natural Language Texts with Subjectivity Characteristic

Chen Xiao Yu, Gao Feng, Song Ying, Zhang Xiao Min
2022 International Journal of Advanced Computer Science and Applications  
complaint data as an example to study the classification modeling for the texts with subjectivity characteristic.  ...  The methods of natural language text classification have the characteristic of diversification, and the text characteristics are the basis of the method effectiveness; this paper takes the car service  ...  In text classification modeling, after the texts are converted to vectors, it is commonly necessary to furtherly process classification information so as to obtain text classification prediction results  ... 
doi:10.14569/ijacsa.2022.0130653 fatcat:u5ijaug5xbce5k5zgqfl2wjluq

SAW Classification Algorithm for Chinese Text Classification

Xiaoli Guo, Huiyu Sun, Tiehua Zhou, Ling Wang, Zhaoyang Qu, Jiannan Zang
2015 Sustainability  
The algorithm uses the special space effect of Chinese text where words have an implied correlation between text information mining and text categorization for high-correlation matching.  ...  Experiments show that SAW classification algorithm on the premise of ensuring precision in classification, significantly improve the classification precision and recall, obviously improving the performance  ...  Author Contributions Xiaoli Guo is responsible for designing algorithm, Huiyu Sun is responsible for implementation of algorithm, TieHua Zhou and Ling Wang are responsible for experiment, Zhaoyang Qu and  ... 
doi:10.3390/su7032338 fatcat:qbugjwe7nbfghl65tjcrt37cmy

An enhanced text classifier for automatic document classification

PKCM Wijewickrema, RCG Gamage
2013 Journal of the University Librarians Association of Sri Lanka  
The results were obtained for classification accuracy of the new text classification algorithm. They were compared with the results obtained for the basic tf-idf classifier.  ...  For the process of classification, we use a new algorithm developed by enhancing basic form of an existing text classifier called tf-idf.  ...  But quite a few other high frequency terms as well. Moreover, this depends on the nature of the text classifier.  ... 
doi:10.4038/jula.v16i2.5205 fatcat:33o2krpgzbe7piq5tznl26jgmm

Application of Weighted Multi-Feature Selection in Educational Resources Classification

Wen Ying, Li Hao
2016 International Journal of Database Theory and Application  
It is an effective solution to highdimensional, non-linear and small-sample pattern recognition problems and has been widely used in fields such as face recognition, fingerprint recognition and text classification  ...  Support vector machine (SVM) has been widely applied to small-sample, non-linear and high-dimensional classifications. Many modified SVM algorithms were put forward in recent years.  ...  These education resources have been major sources for people to gain information. This paper focuses on distinguishing basic educations resources from other resources and information classification.  ... 
doi:10.14257/ijdta.2016.9.8.08 fatcat:bsflm7n7ivey7ejvltz5526wvy

Feature Selection for Effective Text Classification using Semantic Information

Rajul Jain, Nitin Pise
2015 International Journal of Computer Applications  
to incorporate the context information with the text in machine learning for better classification accuracy.  ...  For an improved classification of documents text-based learning needs to understand the context, like humans can decide the relevance of a text through the context associated with it, thus it is required  ...  The basic steps that are part of the preprocessing stage are: Tokenizing the text The task of converting a text into tokens (called words or terms), which are then usable as features for classifier development  ... 
doi:10.5120/19861-1818 fatcat:s5rozhv4krg4hofinpx6lhdrtq

Performance Investigation of Feature Selection Methods [article]

Anuj sharma, Shubhamoy Dey
2013 arXiv   pre-print
Feature selection is significant for sentiment analysis as the opinionated text may have high dimensions, which can adversely affect the performance of sentiment analysis classifier.  ...  This paper explores applicability of feature selection methods for sentiment analysis and investigates their performance for classification in term of recall, precision and accuracy.  ...  Gain ratio is used as one of disparity measures and the high gain ratio for selected feature implies that the feature will be useful for classification.  ... 
arXiv:1309.3949v1 fatcat:2irqbsvb2ngblf5qflxvwttp5y

A Two-Step Resume Information Extraction Algorithm

Jie Chen, Chunxia Zhang, Zhendong Niu
2018 Mathematical Problems in Engineering  
In this paper, we propose a two-step resume information extraction approach. In the first step, raw text of resume is identified as different resume blocks.  ...  However, the diversity of format is harmful to data mining, such as resume information extraction, automatic job matching, and candidates ranking.  ...  The reason for low precision about work time is the same as graduation time. Table 8 shows the details of specific values in the basic information.  ... 
doi:10.1155/2018/5761287 fatcat:ocadhfnxz5ekzhk6rrwrttv4vm

Improved Compound Image Segmentation using Automatic pixel block classification with Support Vector Machine

EBENEZER JULIET SELWYN, Selvi S, jemi florinabel
2019 IET Image Processing  
As the proposed classifier uses both structural and contextual information as features, block classification accuracy has been improved to a great extent.  ...  Experimental results show that the proposed method performs automatic block classification with high accuracy.  ...  However, the proposed approach alleviates this distorted text problem by considering both neighbouring block-type information and blockwise edge information as features for block classification.  ... 
doi:10.1049/iet-ipr.2018.6523 fatcat:twxewmfup5d65a7jt57etkrly4

News video classification using SVM-based multimodal classifiers and combination strategies

Wei-Hao Lin, Alexander Hauptmann
2002 Proceedings of the tenth ACM international conference on Multimedia - MULTIMEDIA '02  
The experimental results show that combining multimodal classifiers can significantly improve recall and precision, and our meta-classification strategy gives better precision than the approach of taking  ...  Text features from closedcaptions and visual features from images are combined to classify broadcast news video.  ...  , since a single modality does not provide sufficient information for accurate classification.  ... 
doi:10.1145/641043.641075 fatcat:l5fihxt2kfe5najlrj3oyfffku

News video classification using SVM-based multimodal classifiers and combination strategies

Wei-Hao Lin, Alexander Hauptmann
2002 Proceedings of the tenth ACM international conference on Multimedia - MULTIMEDIA '02  
The experimental results show that combining multimodal classifiers can significantly improve recall and precision, and our meta-classification strategy gives better precision than the approach of taking  ...  Text features from closedcaptions and visual features from images are combined to classify broadcast news video.  ...  , since a single modality does not provide sufficient information for accurate classification.  ... 
doi:10.1145/641007.641075 dblp:conf/mm/LinH02 fatcat:4hdvrvt3z5gwtcnzezp4jw3u4i

Analysis of Text Classification Algorithms: A Review

Nida Zafar Khan, Prof. S. R. Yadav
2019 International Journal of Trend in Scientific Research and Development  
The primary requirement of text retrieval systems is text classification, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as answering  ...  algorithm will be most suitable for the users.  ...  Stemming of words increases the recall and precision of the information retrieval in Text Mining.  ... 
doi:10.31142/ijtsrd21448 fatcat:wxkkysjrwbh6ppca5fh265pmva

Text Classification Using Support Vector Machine with Mixture of Kernel

Liwei Wei, Bo Wei, Bin Wang
2012 Journal of Software Engineering and Applications  
Recent studies have revealed that emerging modern machine learning techniques are advantageous to statistical models for text classification, such as SVM.  ...  In this study, we discuss the applications of the support vector machine with mixture of kernel (SVM-MK) to design a text classification system.  ...  The recall, precision and F1 for each category text using SVM-MK approach are shown in Table 2 .  ... 
doi:10.4236/jsea.2012.512b012 fatcat:63eb6missjd7jitamnxwp5bloa
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