情感倾向分析（Sentiment Classification）
针对带有主观描述的文本，可自动判断该文本的情感极性类别并给出相应的置信度，
能够帮助企业理解用户消费习惯、分析热点话题和危机舆情监控，为企业提供有利的决策支持。
- 情感倾向分为两类
- Negative (消极)
- Positive (积极)
zookeeper-server-start /usr/local/etc/kafka/zookeeper.properties
2. 启动 kafka:kafka-server-start /usr/local/etc/kafka/server.properties
3. 创建 topic:kafka-topics --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic twitter-data
4. 下载并导入测试数据（src/test/resources目录下, twitter data.txt文件）点击下载测试数据
kafka-console-producer --broker-list localhost:9092 --topic twitter-data < data.txt
5. 运行例子 - SentimentAnalysisExample运行成功后，命令行应该看到下面的信息:
... content: is alone downstairs...working prediction: [ class: "Negative", probability: 0.98781 class: "Positive", probability: 0.01218 ] content: I feel bad for doing it prediction: [ class: "Negative", probability: 0.99725 class: "Positive", probability: 0.00274 ] content: @RyanSeacrest is it just me, or she hates anoop. i mean seriously, she's kinda mean to him. prediction: [ class: "Negative", probability: 0.99816 class: "Positive", probability: 0.00183 ] ...Mac环境安装kafka
brew install kafka目录：
http://www.aias.top/
Git地址：https://github.com/mymagicpower/AIAS
https://gitee.com/mymagicpower/AIAS
