#introduction
A fast text sentiment analysis program currently supports English and Chinese.
The realization principle is as follows:
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Loading emotional dictionary (divided into positive word/negative word/degree word/negative word) and segmentation.
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The emotional value of positive and negative words is accumulated by keyword matching. The default emotional value of positive and negative words is 1/-1 respectively.
3 Retrieving and verifying the semantics of negatives in text and confirming the positive and negative again by multiple checks
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Controlling the degree of repeated emphasis through a specific interval attenuation function
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Get an overall emotional value in the range of - 6 to + 6, and the results of piecewise analysis.
一个快速实现文本情感分析的程序，目前支持英文和中文。
实现原理如下:
1 加载情感词典(分为:正向词/负向词/程度词/否定词)，并进行分词分段处理
2 通过关键词匹配进行情感值累加，正负词的情感值默认各为1/-1
3 检索校验文本的否定词语义，进行多重校验再次确认正负性
4 通过特定区间衰减函数控制重复强调出现的程度值
5 得到一个-6 到 +6 区间的整体情感值，以及分段分析结果
#How to run
pip install -r requirements.txt
python main.py
