قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| تحليل تكرار النصوص× | تكرار المصطلح - التردد العكسي لتكرار المصطلح× | |
|---|---|---|
| المجال | تنقيب النصوص | تنقيب النصوص |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 1949 | 1988 |
| صاحب الطريقة≠ | George K. Zipf (frequency-distribution foundation) | Salton & Buckley |
| النوع≠ | Descriptive text-mining analysis | Text vectorization / term-weighting scheme |
| المصدر التأسيسي≠ | Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley. link ↗ | Salton, G. & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523. DOI ↗ |
| الأسماء البديلة | word frequency analysis, n-gram frequency analysis, Metin Frekans Analizi | term weighting, tf-idf weighting, TF-IDF Vektörizasyonu |
| ذات صلة≠ | 4 | 3 |
| الملخص≠ | Text frequency analysis is a descriptive text-mining method that counts how often words, n-grams, and phrases occur in a corpus to reveal content patterns and dominant themes. It rests on the frequency-distribution insight formalised by George K. Zipf (1949), that a few terms occur very often while most are rare, and it is one of the most basic and widely used entry points into quantitative text analysis. | TF-IDF, introduced by Salton and Buckley (1988), is a term-weighting scheme that scores each word in a document by how often it appears there and how rare it is across the whole collection. It turns raw text into weighted document vectors, giving high weight to terms that are frequent in one document but uncommon elsewhere. |
| ScholarGateمجموعة البيانات ↗ |
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