搜索资源列表
Speech-Emotion-Recognition
- 基于主成分分析法和反向传输神经网络的语音情感识别 摘要——语音信号中包含着丰富的情感信息，尤其是语义信息。快乐、愤怒、厌恶、恐惧、悲伤，这五种基本情感是经过一个受认可的框架讨论和公认的，这个框架包括主成分分析法和BP神经网络。通过PCA从43种候选参数中筛选出11种参数作为确定某种特定的情感类别的标准。实验采用两种神经网络模型，One Class One Network 和 All Class One Network，并进行比较。实验结果表明，其可靠性达52 ~62 ，这说明用这种框架来识别
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
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.)
07情感分析：基于电商产品数据的情感分析
- 07python语言用于情感分析：基于电商产品数据的情感分析(Sentiment analysis based on 07python language: sentiment analysis based on electricity supplier product data)
微博情感分析三种实现
- 用snownlp 情感字典 机器学习三种方法实现微博情感分析(Three methods of learning micro-blog emotion by using snownlp affective dictionary machine)
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)
sentiwordnet
- python3.6下英文文本预处理和情感分析(English text preprocessing and emotional analysis under python3.6)
text_classification_AI100-master
- 实现LSTM情感分析，中文，用到结巴分词，LSTM模型，环境python3.0(Achieve LSTM sentiment analysis, Chinese, use stuttering participle, LSTM model, environment python3.0)
SentimentAnalysiswithSpeechAnalysis
- 该MATLAB例程是基于演讲的语音韵律分析工具，用于情感识别(The MATLAB routine is a sentiment analysis tool based on a speech prosodic analysis and used for sentiment recognition.)
Sentiment Analysis1
- 读取csv或xlsx文件后对文本信息进行NLP情感分析并计算出情感的得分，越接近1越积极，越接近-1越消极(After reading the CSV or xlsx file, NLP sentiment analysis is performed on the text information and the score of sentiment is calculated. The closer to 1, the more positive, the more close to - 1,
KNN算法情感分析
- 里面包含有knn算法情感分析，以及需要的一个包，下载下来就能用