def calculate_similarity(text1, text2): words1 = preprocess(text1) words2 = preprocess(text2) return SequenceMatcher(None, words1, words2).ratio ``` 3. 结果输出 ```python def check_duplicate(main_text, compare_texts): results = [] for text in compare_texts: similarity = calculate_simi...
定义一个方法show_similarity()。使用get()方法从两个文本框中提取文本，并将它们传递给compare_text()函数。清除将显示结果的文本框中的内容，插入相似度百分比。从之前的高亮显示中删除“same”标签（如果有的话）。复制 def show_similarity(): text1 = text_textbox1.get(1.0, tk.END) text2 = text_te...
\text{Similarity} = \frac{n-1}{n} ] 此公式用于衡量样本聚合度。 同时,采用 JMeter 脚本进行性能测试,确保该处理在大数据集下的稳定性: <ThreadGroup> ... // 线程设置 <Sampler> <HTTPSampler> <url>http://localhost:5000/compare</url> <method>POST</method> ... </HTTPSampler> </Sampler> <...
# 使用OpenCV进行图像相似度比较importcv2importnumpyasnp# 读取图片imageA=cv2.imread('imageA.jpg')imageB=cv2.imread('imageB.jpg')# 计算SSIMscore,diff=cv2.compare_ssim(imageA,imageB,full=True)# 使用TensorFlow进行特征提取和相似度计算importtensorflowastf model=tf.keras.applications.ResNet50(weights=...
定义一个方法show_similarity()。使用get()方法从两个文本框中提取文本,并将它们传递给compare_text()函数。清除将显示结果的文本框中的内容,插入相似度百分比。从之前的高亮显示中删除“same”标签(如果有的话)。 复制 def show_similarity(): text1 = text_textbox1.get(1.0, tk.END) ...
sim = similarity() # 计算文本相似度 res = sim.compute('今天中午吃什么','今天中午什么都不想吃') res 所得结果为字典,键为算法名称,值为对应的结果,具体的计算可以参考下图: 4.TF-IDF TF-IDF(Term Frequency-Inverse Document Frequency)是一种统计方法,广泛应用于文本分析多个领域,用以评估某一字词对于...
Learn how to compare two strings in Python and understand their advantages and drawbacks for effective string handling.
doc_vectors=[dictionary.doc2bow(text)fortextincorpus]printlen(doc_vectors)print doc_vectors 代码语言:javascript 代码运行次数:0 运行 AI代码解释 3[[(0,1),(1,3),(2,2),(3,1),(4,3),(5,3),(6,3),(7,1),(8,1),(9,1),(10,1),(11,3),(12,1),(13,2),(14,3),(15,3),...
Table 1covers a selection of ways to search and compare text data. The right column of the table contains a selection of the corresponding Python modules to achieve these tasks. CategoryMethod or AlgorithmPython packages Exact searchBoyer-Moore string search, Rabin-Karp string search, Knuth-Morris...
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