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费尔南多 · 2024年09月30日

tf-idf是high好还是intermedia 好?

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NO.PZ202304050200007701

问题如下:

Based on the text exploration method used for Dataset ABC, tokens that potentially carry important information useful for differentiating the sentiment embedded in the text are most likely to have values that are:

选项:

A.

low

B.

intermediate

C.

high

解释:

B is correct. When analyzing term frequency at the corpus level, also known as collection frequency, tokens with intermediate term frequency (TF) values potentially carry important information useful for differentiating the sentiment embedded in the text. Tokens with the highest TF values are mostly stop words that do not contribute to differentiating the sentiment embedded in the text, and tokens with the lowest TF values are mostly proper nouns or sparse terms that are also not important to the meaning of the text.

A is incorrect because tokens with the lowest TF values are mostly proper nouns or sparse terms (noisy terms) that are not important to the meaning of the text.

C is incorrect because tokens with the highest TF values are mostly stop words (noisy terms) that do not contribute to differentiating the sentiment embedded in the text.


笔上面这句话,我理解是tf-do越高词越重要。但这道题的答案好像说中间值更好?另外,题目说的是用tf-idk判断吧?答案好像就只用tf了?

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已采纳答案

袁园_品职助教 · 2024年10月05日

嗨,爱思考的PZer你好:


TF(词频)和 IDF(逆文档频率)是构建 TF-IDF 模型的两个核心概念。TF 用来衡量某个词在文档中出现的频率,而 IDF 用来降低那些在多个文档中频繁出现的常见词的权重,从而更好地突出那些在少数文档中出现、但能够显著区分文本含义的词。

所以指标中最好的是TF-IDF,但是这道题没有用这个指标,而是直接问TF是高、低还是中等好。

在分析词频时,那些具有**中间词频(intermediate TF)**的 token 更有可能携带区分情感的有用信息。这是因为那些词频非常高的词(如停用词 "the"、"is" 等)虽然出现频繁,但它们并没有什么实际意义,无法有效区分文本的情感。而那些词频非常低的词,通常是专有名词或者是稀有词,这些词虽然有时很重要,但它们在情感分析中通常也是噪音,无法很好地反映情感。因此,中等词频的词最有可能提供文本情感分析中的关键信息。

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虽然现在很辛苦,但努力过的感觉真的很好,加油!

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