| 000 | 01722 a2200325 4500 | ||
|---|---|---|---|
| 001 | 1134761414 | ||
| 005 | 20250317111644.0 | ||
| 008 | 250312042016GB eng | ||
| 020 | _a9781134761418 | ||
| 037 |
_bTaylor & Francis _cGBP 52.99 _fBB |
||
| 040 | _a01 | ||
| 041 | _aeng | ||
| 072 | 7 |
_aGL _2thema |
|
| 072 | 7 |
_aDSA _2thema |
|
| 072 | 7 |
_aJBCC _2thema |
|
| 072 | 7 |
_aNH _2thema |
|
| 072 | 7 |
_aGL _2bic |
|
| 072 | 7 |
_aDSA _2bic |
|
| 072 | 7 |
_aJFC _2bic |
|
| 072 | 7 |
_aH _2bic |
|
| 072 | 7 |
_aLAN025000 _2bisac |
|
| 072 | 7 |
_aHIS000000 _2bisac |
|
| 072 | 7 |
_a428.1 _2bisac |
|
| 100 | 1 | _aDawn Archer | |
| 245 | 1 | 0 |
_aWhat's in a Word-list? _bInvestigating Word Frequency and Keyword Extraction |
| 250 | _a1 | ||
| 260 |
_aOxford _bRoutledge _c20160224 |
||
| 300 | _a200 p | ||
| 520 | _bThe frequency with which particular words are used in a text can tell us something meaningful both about that text and also about its author because their choice of words is seldom random. Focusing on the most frequent lexical items of a number of generated word frequency lists can help us to determine whether all the texts are written by the same author. Alternatively, they might wish to determine whether the most frequent words of a given text (captured by its word frequency list) are suggestive of potentially meaningful patterns that could have been overlooked had the text been read manually. This edited collection brings together cutting-edge research written by leading experts in the field on the construction of word-lists for the analysis of both frequency and keyword usage. Taken together, these papers provide a comprehensive and up-to-date survey of the most exciting research being conducted in this subject. | ||
| 999 |
_c7877 _d7877 |
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