相关python模块

pip install pandas
pip install scikit-learn
pip install nltk

当前使用版本
Python 3.10.12
scikit-learn 1.2.2
pandas 2.0.3
nltk 3.8.1

需要先建立自己的情感分析模型，然后再通过以下步骤来实现：

步骤一：准备自己的训练数据

首先，你需要准备带有情感标签的文本数据。这些文本可以是来自于社交媒体、产品评论、新闻文章等，并且需要标记它们的情感类别，如正面、负面或中性。

例如，假设你有一个包含电影评论的 CSV 文件，每行包括评论文本和相应的情感类别（positive, negative, neutral）：

text,sentiment
"This movie was fantastic!",positive
"I didn't like this film.",negative
"The plot was boring.",negative
"This film exceeded my expectations.",positive
"This movie is okay.",neutral

利用pandas来创立CSV文件

import pandas as pd# 创建资料
data = {'text': ["This movie was fantastic!","I didn't like this film.","The plot was boring.","This film exceeded my expectations.","This movie is okay."],'sentiment': ['positive','negative','negative','positive','neutral']
}# 将这些资料转换为 DataFrame
df = pd.DataFrame(data)