In recent years,renewable energy technologies have been developed vigorously,and related supporting policies have been issued.The developmental trend of different energy sources directly affects the future development...In recent years,renewable energy technologies have been developed vigorously,and related supporting policies have been issued.The developmental trend of different energy sources directly affects the future developmental pattern of the energy and power industry.Energy trend research can be quantified through data statistics and model calculations;however,parameter settings and optimization are difficult,and the analysis results sometimes do not reflect objective reality.This paper proposes an energy and power information analysis method based on emotion mining.This method collects energy commentary news and literature reports from many authoritative media around the world and builds a convolutional neural network model and a text analysis model for topic classification and positive/negative emotion evaluation,which helps obtain text evaluation matrixes for all collected texts.Finally,a long-short-term memory model algorithm is employed to predict the future development prospects and market trends for various types of energy based on the analyzed emotions in different time spans.Experimental results indicate that energy trend analysis based on this method is consistent with the real scenario,has good applicability,and can provide a useful reference for the development of energy and power resources and of other industry areas as well.展开更多
This paper selects revulsion and its networking emotion： resentment and disgust as a generic form of novel studies and the subject of moral investigation. Motifs of revulsion create complex bedding texture of the plo...This paper selects revulsion and its networking emotion： resentment and disgust as a generic form of novel studies and the subject of moral investigation. Motifs of revulsion create complex bedding texture of the plot, which introduces personality and inner visions of characters in the novel. It unifies the binding power of narrative history and informs readers various aspects of morality in the Victorian era, in addition, to present a lyrical tone of social ethics. The following analysis takes Eliot＇s Middlemarch as the base text. I shall explain the lexical meaning and textual discussion of revulsion, resentment and disgust spirally within its context, then illustrate with paranthetical examples and different idioms. Later arguments turn to what Eliot defines as faction of human duty in life, which is the nuanced requirement of a subject stands against himself or herself through the disposition of conscience as verdict. This disposition provides unlimited parallels for instinctive presence of internal feelings and thresholds that are constantly affecting moral understandings.展开更多
基金funded by the technical project of Global Energy Internet Group Co.,Ltd.:Research on Global Energy Internet Big Data Collection and Analysis Modeling and the National Key Research and Development Plan of China under Grant(2018YFB0905000)
文摘In recent years,renewable energy technologies have been developed vigorously,and related supporting policies have been issued.The developmental trend of different energy sources directly affects the future developmental pattern of the energy and power industry.Energy trend research can be quantified through data statistics and model calculations;however,parameter settings and optimization are difficult,and the analysis results sometimes do not reflect objective reality.This paper proposes an energy and power information analysis method based on emotion mining.This method collects energy commentary news and literature reports from many authoritative media around the world and builds a convolutional neural network model and a text analysis model for topic classification and positive/negative emotion evaluation,which helps obtain text evaluation matrixes for all collected texts.Finally,a long-short-term memory model algorithm is employed to predict the future development prospects and market trends for various types of energy based on the analyzed emotions in different time spans.Experimental results indicate that energy trend analysis based on this method is consistent with the real scenario,has good applicability,and can provide a useful reference for the development of energy and power resources and of other industry areas as well.
文摘This paper selects revulsion and its networking emotion： resentment and disgust as a generic form of novel studies and the subject of moral investigation. Motifs of revulsion create complex bedding texture of the plot, which introduces personality and inner visions of characters in the novel. It unifies the binding power of narrative history and informs readers various aspects of morality in the Victorian era, in addition, to present a lyrical tone of social ethics. The following analysis takes Eliot＇s Middlemarch as the base text. I shall explain the lexical meaning and textual discussion of revulsion, resentment and disgust spirally within its context, then illustrate with paranthetical examples and different idioms. Later arguments turn to what Eliot defines as faction of human duty in life, which is the nuanced requirement of a subject stands against himself or herself through the disposition of conscience as verdict. This disposition provides unlimited parallels for instinctive presence of internal feelings and thresholds that are constantly affecting moral understandings.
