zh:notes:math_softwares
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zh:notes:math_softwares [2026/07/06 21:01] pzczxs [Extract Themes] |
zh:notes:math_softwares [2026/08/24 10:15] (当前版本) pzczxs [Obtain Embedding from a Vector Model] |
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| The citing articles can be exported for Gaussian AT<sup>credit</sup> model by running <color red>ToGaussianATCreditConverter.java</color> in the pakcage <color red>cn.edu.bjut.converter</color>. | The citing articles can be exported for Gaussian AT<sup>credit</sup> model by running <color red>ToGaussianATCreditConverter.java</color> in the pakcage <color red>cn.edu.bjut.converter</color>. | ||
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| + | ==== Obtain Embedding from a Vector Model ==== | ||
| + | The //text-embedding-v4// model is employed to produce a 64-demensional embedding vector for each word. | ||
| + | <code bash> | ||
| + | > python .\extract_embedding.py --model text-embedding-v4 --dimension 64 --batch-size 10 --output text-embedding-v4-64.txt --resume .\math_software.word.vocab | ||
| + | </code> | ||
| ==== Count One- and Two- Grams for PMI Calculation ==== | ==== Count One- and Two- Grams for PMI Calculation ==== | ||
| [[https://dumps.wikimedia.org/backup-index.html|Wikepedia dumps]] (version: 2026-03-01) should be downloaded in advance. | [[https://dumps.wikimedia.org/backup-index.html|Wikepedia dumps]] (version: 2026-03-01) should be downloaded in advance. | ||
| 行 63: | 行 69: | ||
| Then, the statistics for single terms and term pairs can be obtained by running the following code (cf. Project <color red>WikipediaTool</color>). | Then, the statistics for single terms and term pairs can be obtained by running the following code (cf. Project <color red>WikipediaTool</color>). | ||
| <code bash> | <code bash> | ||
| - | > java -jar .\WikipediaTool.jar -t 0 -i ..\Wikipedia\ -o ..\Wikipedia-token\ > tokenization.log | + | > java -jar WikipediaTool.jar -t 0 -i ..\Wikipedia\ -o ..\Wikipedia-token\ > tokenization.log |
| - | > java -jar .\WikipediaTool.jar -t 1 -i ..\Wikipedia-token\ -o ..\Wikipedia-token-cleaned\ > cleaning.log | + | > java -jar WikipediaTool.jar -t 1 -i ..\Wikipedia-token\ -o ..\Wikipedia-token-cleaned\ > cleaning.log |
| - | > java -jar .\WikipediaTool.jar -t 2 -d ..\data\math_software.word.vocab -w 10 -i ..\Wikipedia-token-cleaned\ -o ..\data\Wikipedia\ > extraction-terms.log | + | > java -jar WikipediaTool.jar -t 2 -d ..\data\math_software.word.vocab -w 10 -i ..\Wikipedia-token-cleaned\ -o ..\data\Wikipedia\ > extraction-terms.log |
| - | > java -Xmx26g -jar .\WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 0 -u 5000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting0-5000.log | + | > java -Xmx26g -jar WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 0 -u 5000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting0-5000.log |
| - | > java -Xmx26g -jar .\WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 5000 -u 10000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting5000-10000.log | + | > java -Xmx26g -jar WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 5000 -u 10000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting5000-10000.log |
| - | > java -Xmx26g -jar .\WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 10000 -u 20000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting10000-20000.log | + | > java -Xmx26g -jar WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 10000 -u 20000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting10000-20000.log |
| - | > java -Xmx26g -jar .\WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 20000 -u 30000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting20000-30000.log | + | > java -Xmx26g -jar WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 20000 -u 30000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting20000-30000.log |
| - | > java -Xmx26g -jar .\WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 30000 -u 40000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting30000-40000.log | + | > java -Xmx26g -jar WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 30000 -u 40000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting30000-40000.log |
| - | > java -Xmx26g -jar .\WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 40000 -u 86000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting40000-86000.log | + | > java -Xmx26g -jar WikipediaTool.jar -t 3 -d ..\data\math_software.word.vocab -w 10 -l 40000 -u 86000 -i ..\Wikipedia-token-cleaned\ -o ..\Wikipedia-statistics\ > counting40000-86000.log |
| - | > java -jar .\WikipediaTool.jar -t 4 -d ..\Wikipedia-statistics\ -o ..\data\Wikipedia\ > merging.log | + | > java -jar WikipediaTool.jar -t 4 -d ..\Wikipedia-statistics\ -o ..\data\Wikipedia\ > merging.log |
| </code> | </code> | ||
| 行 82: | 行 88: | ||
| Project: <color red>GaussianATModelWithCredit</color> | Project: <color red>GaussianATModelWithCredit</color> | ||
| + | ==== GloVe Embedding ==== | ||
| + | <code bash> | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/10/math_software -K 10 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/20/math_software -K 20 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/30/math_software -K 30 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/40/math_software -K 40 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/50/math_software -K 50 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/60/math_software -K 60 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/70/math_software -K 70 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/80/math_software -K 80 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/90/math_software -K 90 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/100/math_software -K 100 | ||
| + | </code> | ||
| + | |||
| + | ==== text-embedding-v4 ==== | ||
| <code bash> | <code bash> | ||
| - | > java -jar .\GaussianATModelWithCredit.jar -sf -D 50 -i 500 -n 50 -s 7 -fb math_software/math_software -K 100 | + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/10/math_software -K 10 |
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/20/math_software -K 20 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/30/math_software -K 30 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/40/math_software -K 40 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/50/math_software -K 50 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/60/math_software -K 60 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/70/math_software -K 70 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/80/math_software -K 80 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/90/math_software -K 90 | ||
| + | > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/100/math_software -K 100 | ||
| </code> | </code> | ||
| ===== Calculate Diversity Indicators ===== | ===== Calculate Diversity Indicators ===== | ||
| The following three diversity indicators are calculated: (1) Rao-Stirling ([[https://www.jstor.org/stable/25050293|Rao, 1982]]; [[https://doi.org/10.1098/rsif.2007.0213|Stirling, 2007]]), DIV ([[https://doi.org/10.1016/j.joi.2019.03.016|Leydesdorff et al., 2019]]), and Diversity ([[https://doi.org/10.1007/s11192-022-04336-3|Mutz, 2022]]). | The following three diversity indicators are calculated: (1) Rao-Stirling ([[https://www.jstor.org/stable/25050293|Rao, 1982]]; [[https://doi.org/10.1098/rsif.2007.0213|Stirling, 2007]]), DIV ([[https://doi.org/10.1016/j.joi.2019.03.016|Leydesdorff et al., 2019]]), and Diversity ([[https://doi.org/10.1007/s11192-022-04336-3|Mutz, 2022]]). | ||
zh/notes/math_softwares.1783342899.txt.gz · 最后更改: 2026/07/06 21:01 由 pzczxs