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recognition
- 本实验语音库为免费的柏林情感语音库，其采样频率为16KHZ，16bit量化。该语音库共有500 句情感语音信号，分别由十名专业演员(5 男，5 女)在不同情感状态下（高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨）朗读十句不同文本的德语组成。本实验选取其中的部分情感（高兴、愤怒、悲伤）加以识别。仿真实验环境为MATLAB7.0。 实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响，本文实验过程中将提取的情感特征进行归一化处理。归一化
NBclassfier
- 贝叶斯情感分类器,基于五倍交叉法来验证。程序可以直接运行，改程序是在基于已经分词的情况下实施的。-Bayesian classifier, emotion to verify five times based on the crossover. Program can be run directly, the program is based on the segmentation of the case.
PJudgetopic
- 机器学习的方法短信情感分类，喜怒哀惧，43123条短信训练集-SMS emotion machine learning classification methods, joy, anger, sadness and fear, 43123 SMS training set
NLP
- 中文文本情感分类。上课的课程作业，本着服务大家的思想上传，包括实验代码，实验数据，实验ppt以及实验报告。非常详细-Chinese text sentiment classification. Course work in class, in the service of everyone' s thoughts upload, including experimental code, test data, test and lab reports ppt. Very detailed.
PerceptronXOR
- 利用基于生理的情感神经网络，包含杏仁体，丘脑，视觉神经等重要元素，可用于分类与预测，性能优越于SVM-The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior performance
PCA-BEL(ToolBox1.0)
- 又提供一基于生理的情感神经网络，包含杏仁体，丘脑，视觉神经等重要元素，可用于分类与预测，性能优越于SVM，BP-The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior perform
nlp
- 基于贝叶斯网络的网络评论情感分类，Java实现，内附评论数据包-Based on Bayesian Network Web reviews sentiment classification, Java implementation, the packet included a review
qg_classify
- RNN实现情感分类,深度学习方法-RNN achieve sentiment classification, depth of learning
PLA
- PLA算法是人工智能经典算法之一，实现了小数据集的情感分类。-PLA algorithm is one of the classic algorithms of artificial intelligence, the realization of the passion of the small data set classification algorithm of PLA is one of the classic algorithms of artificial intelligence
image-sentiment-analysis
- 图片情感分析模型，基于卷积神经网络，以颜色特征为依据进行情感分类，图片情感极性分为积极和消极两类。(The model can extract the hue, brightness, contrast and other information from a picture to represent the emotional polarity of the image. The image sentiment analysis model is using convolution neura
文本深度挖掘
- 用于分析文档，分析情感指数，正负面情绪，及新闻分类(Used to analyze documents, analyze sentiment, positive and negative emotions, and classify news)
NavieBayes github java
- java 朴素贝叶斯 机器学习 情感分类器(java naivebayes machinelearing)
CNN
- 卷积神经网络的源代码，用于微博博文文本情感分析的三分类。(Convolutional neural network source code for micro-blog Bowen text sentiment analysis of the three categories.)
RunCNN
- 卷积神经网络的源代码，用于微博博文情感分析的三分类。(Convolutional neural network source code, for micro-blog Bowen sentiment analysis of the three categories.)
情感分析
- 分类，用于对情感词的统计、排序、分类等 包括源程序、数据拆分程序、训练集和测试集(Classification for statistics, sorting and classification of emotional words Includes source programs, data split programs, training sets, and test sets)
语音识别
- 实现情感分类的语音识别，GUI界面已实现，可直接运行