A novel personality detection method based on high-dimensional psycholinguistic features and improved distributed Gray Wolf Optimizer for feature selection     

《Information processing & management》2023,60(2):103217

Existing personality detection methods based on user-generated text have two major limitations. First, they rely too much on pre-trained language models to ignore the sentiment information in psycholinguistic features. Secondly, they have no consensus on the psycholinguistic feature selection, resulting in the insufficient analysis of sentiment information. To tackle these issues, we propose a novel personality detection method based on high-dimensional psycholinguistic features and improved distributed Gray Wolf Optimizer (GWO) for feature selection (IDGWOFS). Specifically, we introduced the Gaussian Chaos Map-based initialization and neighbor search strategy into the original GWO to improve the performance of feature selection. To eliminate the bias generated when using mutual information to select features, we adopt symmetric uncertainty (SU) instead of mutual information as the evaluation for correlation and redundancy to construct the fitness function, which can balance the correlation between features–labels and the redundancy between features–features. Finally, we improve the common Spark-based parallelization design of GWO by parallelizing only the fitness computation steps to improve the efficiency of IDGWOFS. The experiments indicate that our proposed method obtains average accuracy improvements of 3.81% and 2.19%, and average F1 improvements of 5.17% and 5.8% on Essays and Kaggle MBTI dataset, respectively. Furthermore, IDGWOFS has good convergence and scalability.  相似文献   

国际科研众筹项目的特征描述、主题分析及属性对比:基于Experiment平台的发现     

刘周颖  赵宇翔  巴志超  吴聪  朱庆华 《图书情报知识》2020,(3):71-82

[目的/意义]为了深入了解科研众筹平台中的项目情况,本文对科研众筹项目的基本特征、研究主题和不同类型科研众筹项目的属性对比进行研究。[研究设计/方法]首先对科研众筹的起源、价值和运作模式进行了梳理;随后爬取了科研众筹平台Experiment的项目信息,并对该平台中科研项目的发起者、背书者、项目记录、所属学科、资助情况等进行特征描述;基于LDA模型对科研众筹项目主题进一步细化,并对不同资金筹集和不同主题分类情况下的科研众筹项目的属性差异进行比较分析。[结论/发现]科研众筹主题主要集中在生物学和生态学两个领域,不同资金筹集达成情况的科研众筹项目在项目背书者数量、信息记录次数和讨论次数上具有显著差异;不同主题的科研众筹项目在其讨论次数上具有显著差异。同时,是否提供视频和是否参与资助挑战在不同资金筹集达成情况和不同主题的科研众筹项目上均具有显著差异。[创新/价值]深入分析了科研众筹平台中项目主题及属性对比情况,对科研众筹平台优化信息审核机制、社交机制和信息展示机制具有一定的参考价值。  相似文献   

车牌字符识别研究     

文乔农  王海瑞  危春波 《科技广场》2007,(5):135-136

本文对以切割好的并经过归一化处理的车牌字符用K-L变换提取特征向量,K-L变换能降低特征维数并保持字符图象的主要特征。采用了四个径向基神经网络对车牌字符识别,降低了识别复杂度,具有较好的识别效果。  相似文献   

Fault diagnosis for analog circuits based on chaotic signal excitation     

Hong-Guang Ma  Xiao-Fei Zhu  Ming-Shun Ai  Ji-Dong Wang 《Journal of The Franklin Institute》2007,344(8):1102-1112

A fault diagnosis method for analog circuit is proposed in this paper. An all-purpose amplifier is taken as the typical circuit under test (CUT). The chaotic signal, which is generated by an improved Chua's circuit, is employed as the excitation signal of CUT. The algorithm for phase-space reconstruction of chaotic time series is a combination algorithm of multiple autocorrelation and Γ-test. The circuit state is estimated based on detecting the geometric change of Chua's attractor with a data-mining approach. For the purpose of information fusion, another eight features are extracted from the testing data to comprehensively determine the CUT states. A discussion is made for comparing the effectiveness of each feature according to the testing results.  相似文献   

Efficient implementation of associative classifiers for document classification     

Yongwook Yoon  Gary Geunbae Lee 《Information processing & management》2007

In practical text classification tasks, the ability to interpret the classification result is as important as the ability to classify exactly. Associative classifiers have many favorable characteristics such as rapid training, good classification accuracy, and excellent interpretation. However, associative classifiers also have some obstacles to overcome when they are applied in the area of text classification. The target text collection generally has a very high dimension, thus the training process might take a very long time. We propose a feature selection based on the mutual information between the word and class variables to reduce the space dimension of the associative classifiers. In addition, the training process of the associative classifier produces a huge amount of classification rules, which makes the prediction with a new document ineffective. We resolve this by introducing a new efficient method for storing and pruning classification rules. This method can also be used when predicting a test document. Experimental results using the 20-newsgroups dataset show many benefits of the associative classification in both training and predicting when applied to a real world problem.  相似文献   

试论彝族文化学的学科特征     

杨甫旺 《毕节学院学报》2007,25(5):17-20

彝族文化学是一门构建自己理论知识体系的学科,是研究彝族及其文化的人文社会科学,具有科学性、民族性、复合性等学科特征。  相似文献   

英语习语及其翻译法浅论     

高云峰 《黑龙江教育学院学报》2005,24(2):73-74

英语习语是英语经过长期使用而提炼出来的固定词组、短语或短句。英美民族文化的传统习俗、重大历史事件、神话传说都在习语中有所体现。习语的翻译必须在深谙其文化背景的基础上进行,需要采取直译、直译加注、意译等多种方法才能打破语言间的壁垒,准确传达信息。  相似文献   

新兴“X活族”词语及其语用修辞价值     

刘红妮 《毕节师范高等专科学校学报》2008,(6):17-20

“X活族”新词是指“快活族”、“慢活族”、“乐活族”这样新出现的带“活族”的词语。“X活族”新词的句法和语义构成比较复杂;语用上具有继承性与创新性、二次创新和非常规性、音译兼意译,洋为中用的特点;修辞上巧用对比、转喻和概念整合手段,具有形象创新、词约义丰、直指本质以及陌生化的功能。“X活族”新词的涌现,是语言和社会共同作用的结果。  相似文献   

Automatically extracting sheet-metal features from solid model     

刘志坚  李建军  王义林  李材元  肖祥芷 《浙江大学学报(A卷英文版)》2004,5(11):1456-1465

With the development of modern industry,sheet-metal parts in mass production have been widely applied in mechanical,communication,electronics,and light industries in recent decades; but the advances in sheet-metal part design and manufacturing remain too slow compared with the increasing importance of sheet-metal parts in modern industry. This paper proposes a method for automatically extracting features from an arbitrary solid model of sheet-metal parts; whose characteristics are used for classification and graph-based representation of the sheet-metal features to extract the features embodied in a sheet-metal part. The extracting feature process can be divided for valid checking of the model geometry,feature matching,and feature relationship. Since the extracted features include abundant geometry and engineering information,they will be effective for downstream application such as feature rebuilding and stamping process planning.  相似文献   

一种基于特征编码的Word文档数字水印算法     

方旺盛  舒明磊 《科技广场》2006,(1):4-6

本文基于文本数字水印的特征编码思想,通过设置Word文档中字符的下划线格式以嵌入和检测水印。实验表明,该算法有较强的不可见性,能较好的嵌入和检测水印,从而达到数字水印的一般要求。  相似文献