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Update README.md

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4.选择合适的模型以及合适的评估方法。 对于情感分析来说,这是二分类问题(或者三分类:正面,负面,中性),
所以需要采用分类算法比如逻辑回归,朴素贝叶斯,神经网络,SVM等等。另外,我们需要选择合适的评估方法,比如对于一个应用,我们是关注准确率呢,还是关注召回率
The goal of this project is to automatically determine whether the comments are positive or negative based on the comments provided by users through an algorithm. For example, given a user's review:
The goal of this project is to automatically determine whether the comments are positive or negative based on the comments provided by users through an algorithm.
For example:
Comment 1: "I love this appliance, I've had it for 3 months and it's not a problem!"
Comment 2: "The things I sold from this Taobao store started to break down within a week. I strongly recommend not buying them. It's a real waste of money."
Of these two comments, the first is clearly positive and the second is negative. I want to build an AI algorithm that can automatically tell if a review is positive or negative.
Of these two comments, the first is clearly positive and the second is negative.
I want to build an AI algorithm that can automatically tell if a review is positive or negative.
Sentiment analysis is a classic problem in text processing. The whole system generally consists of several modules:
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