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@@ -123,6 +123,8 @@ print(keywords) |
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5. 文本摘要 |
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```python3 |
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import jiagu |
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fin = open('input.txt', 'r') |
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text = fin.read() |
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fin.close() |
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@@ -140,6 +142,8 @@ jiagu.findword('input.txt', 'output.txt') # 根据文本,利用信息熵做新 |
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7. 情感分析 |
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```python3 |
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import jiagu |
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text = '很讨厌还是个懒鬼' |
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sentiment = jiagu.sentiment(text) |
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print(sentiment) |
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@@ -147,6 +151,8 @@ print(sentiment) |
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8. 文本聚类 |
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```python3 |
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import jiagu |
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docs = [ |
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"百度深度学习中文情感分析工具Senta试用及在线测试", |
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"情感分析是自然语言处理里面一个热门话题", |
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