pyTextMiner
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1.1.116 | pyTextMiner-1.1.116-py3-none-any.whl |
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Project: | pyTextMiner |
Version: | 1.1.116 |
Filename: | pyTextMiner-1.1.116-py3-none-any.whl |
Download: | [link] |
Size: | 184963 |
MD5: | b138d8fcab48011ca688c959efcd0cec |
SHA256: | f1b7d2c1a12c3a1647fcf0e73c6e6f33cba28e8c042c8d4c18369aed6c823278 |
Uploaded: | 2020-07-14 14:18:34 +0000 |
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METADATA · WHEEL · RECORD · top_level.txt
METADATA
WHEEL
Wheel-Version: | 1.0 |
Generator: | bdist_wheel (0.34.2) |
Root-Is-Purelib: | true |
Tag: | py3-none-any |
RECORD
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ack_mining/__init__.py | sha256=fPPYqxdPrhhYrwqr4M_uPk29Jy2eNI02GUE-OcIWw_c | 1226 |
ack_mining/flair_predictor.py | sha256=7kudIHK3DPuIdMprv1kPht50zvUqBOMXw2Ysc_Nb6EU | 672 |
ack_mining/flair_trainer.py | sha256=h1m1PXLC2JhifXSc3wpcHuk-vqntF4EojDyQqK4V1NE | 984 |
ack_mining/training_data_converter.py | sha256=-DGMigyiIhne8F_VLqhGURb9KNzS1fQFTy4qSK0ZQig | 558 |
doc2vec/__init__.py | sha256=LAzN_rAS05DQ2cwOR_3TGkNEyulcZfIzg8fwygqCA-A | 21 |
doc2vec/doc2vecModel.py | sha256=llftXFEYjoDyWlUZsxv1ya-83k70yHUQiH4nOmfKyaQ | 6643 |
doc2vec/docSimilarityManager.py | sha256=fpI9eMkEgbj4ZzeHfVnbIamYG1AbiVCAz6mp7mni6Ag | 1813 |
doc2vec/train.py | sha256=xWDP5CmuZfLfPpYBXhHQoQssovmFS0Uqo9XHTduUwuc | 6955 |
document_classification/__init__.py | sha256=QfE9UWe2y7YqL64FieaCT2-_7ginJpqoHrLsqsWj4Qo | 37 |
document_classification/lasso_term_extraction.py | sha256=J1f7IBbi0SYTUseK94nnPryQwGDke6bu_J7VoHD4NAs | 6614 |
document_classification/ml_textclassification.py | sha256=eFPc9IwjKVxtcSHwJCqR2b0qPqUEkavpIzkKByr6PWU | 10994 |
document_classification/test_ml_text_classfier.py | sha256=oL5MfBOj9Xq4Tp27n3iVYY4kkGbuquYR_6nTqFXxr00 | 3212 |
document_clustering/__init__.py | sha256=sn1gUPAoEv-6uqlWlTiCYl0AZp5YmaSO6VBzNhBJRbY | 33 |
document_clustering/documentclustering.py | sha256=DCA_VW4L3KQXq9ClR8mmv9bGuce65Pn13IvgtlTXlCI | 10309 |
document_clustering/test_document_clustering.py | sha256=CJokI_qNQ37o_8bDIhS7iI41renCnE76bp3f7B2TcIU | 1187 |
examples/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
examples/doc2vec_tester.py | sha256=PMD3xR8WlOOt9nOr5j5OAApYJ5Mq6I15SYtSZjW0JLQ | 1466 |
examples/doc2vec_trainer.py | sha256=A2nCAr_4xaUdkFqbeM2dp5GNnXV1llycyzjD5nHJPi4 | 2351 |
examples/fasttext_tester.py | sha256=Eu7mwvm5L6gK_5iNoLpOvRnTG01NIAoZSf5O-ujMSCA | 458 |
examples/fasttext_trainer.py | sha256=p_-w62YUE0zYoKsx9DJsA7IuKoFOrqhVCV7lnBrlNs4 | 549 |
examples/glove_tester.py | sha256=bCpxc6g5wSKafBctkmE1k1lKLiKV-DJ9w-CAuVOOLT0 | 324 |
examples/koreanKeywordTest.py | sha256=6oJIO_H7gf7CMo59hD8J-WZ9OpGAQeFNCe0tjHKKjSs | 6377 |
examples/koreanLemmatizationTest.py | sha256=e0W0Dq7O9CxI9wgH_fywUVsamPMlsIpwaCTu2S0HK1k | 328 |
examples/koreanNounExtractionTest.py | sha256=F8zAG3GFwBMTxzbmjkGXw8Go62JHZZr3VV_JA3gWirI | 1376 |
examples/koreanSegmentationTest.py | sha256=pjlhq_I6L5wN24uP-TWLkryb0Hqg44JIlNL9EQ6UHBk | 620 |
examples/koreanSpecialTokenizerTest.py | sha256=r2MZlHSE8qOcuhTvh5etFjyiep7pJqI9JecK_5mWock | 2652 |
examples/koreanTokenizerTest.py | sha256=Ud86VSBFAv2Ca8il9L4xOrK6n1r2Ng859UbRahd_ep0 | 6222 |
examples/naver_newscomments_processor.py | sha256=tLv4JGT-3e9yoKQT6hz1NtlwEEgQgcxfdoykVOMfhB0 | 1116 |
examples/node2vec_tester.py | sha256=iWgOMgmNPqjnxjdT_lA8z98-FlibaSavYHYXWR3b5Ow | 384 |
examples/node2vec_traianer.py | sha256=ZpyQHm3Mbec5laDyQgJeXNhVFyyAFE3TzoXN6R4wdoo | 1559 |
examples/test222.py | sha256=FubBKRc5LlO5dug8xP_AVLVx8rNxlD_OYVPSMatXCpg | 1119 |
examples/test3.py | sha256=7J7vnO-vEvHxEH4naPvYwSndjUomG4ISIEZ7LBelPHE | 1205 |
examples/test4.py | sha256=hdHsil1JZPE35JtZRnZCmvTFm1OTpJUXLKtCMIlJrkc | 1409 |
examples/testBertLSTM.py | sha256=1deZhdEa2SHkG7AJA7wId_nveXD0Q1Ii5K_dMnXmm4c | 21029 |
examples/testCooccurrence.py | sha256=r3FY3jp1BEyq3QWW-wxJb6D8qss7TQrDW3Lh3kKh8kE | 3194 |
examples/testDocTermMatrix.py | sha256=fBBa4F8NdBJM5YOTFcRRAlhKS3pnDmsBklYajlocxg0 | 1981 |
examples/testEXCo.py | sha256=LdhNwsReI0FMr7Q4NKCzxHVY0vIIf8sxa7tm-JRygMA | 2230 |
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examples/testMallet.py | sha256=An6B6xhXqXOBSFklBEcHcxf2slSqw7x82mExpvXYTRw | 600 |
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glove-win_devc_x64/eval/python/word_analogy.py | sha256=XstV-WiC5HW8is3w3yFCiqt3nrPItkks4XcdVeA_F-0 | 2627 |
lda2vec/__init__.py | sha256=1mSWWX6canaOm28nzddMEZ2cNqQpypcg7otOsk9xLUQ | 100 |
lda2vec/alias_multinomial.py | sha256=O7I1yywaDl9k8DnY95zAY34LjrwN2du2hkLqnn-r594 | 1865 |
lda2vec/get_windows.py | sha256=Z0ek0Id7M2OmP3TwJjy3HFN6FW3gWFz3msD5fOieUKE | 1061 |
lda2vec/lda2vecManager.py | sha256=d7eVrpMhfc2YSzS4r4L6kWOKsnfnIDA_4Jj_4rtsezM | 5108 |
lda2vec/lda2vec_loss.py | sha256=TJ3hvOW3kT9axn6nixEqBs4l8NOEC6XvsYOV4KERzms | 7718 |
lda2vec/lda2vec_model.py | sha256=_adKyOIZiE2iW7wg-5XNSqJp5BFVZCgFbIJZWue0hrM | 2989 |
lda2vec/load_20newsgroups.py | sha256=-0gK_Tw0gtQzXuAO5iEwG-dgdCoaqeGZJr8uzC_GOPs | 924 |
lda2vec/preprocess.py | sha256=wNuFKp2dXZLgMndJ2WQdzwkR83KRKvyO0erD_QKOSPQ | 3677 |
lda2vec/run_20newsgroups.py | sha256=dGTJwzba7dbxHYhkh7N4pZ2RnD0HK9ZQiC6rJCWy7n0 | 1543 |
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pyTextMiner/chunker/__init__.py | sha256=3X0wXp4c6biIPgHG7MUhOeDpRjooZ93bXM72G5SsABo | 568 |
pyTextMiner/collector/__init__.py | sha256=jkufDRpJwdQ3EaYteWpDuPwhWu95KI5rCpOHhUA5kUY | 335 |
pyTextMiner/collector/colAmericanNewsContent.py | sha256=7MnuLM1F-eFIZSQgyxhr1X4kNM_uM_by3gYW_4hpt2E | 2074 |
pyTextMiner/collector/colAmericanNewsURL.py | sha256=OW1fiIOLMMD3o4giHlH1X_ouNaqqd3IvvJXD_1COh7s | 10828 |
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pyTextMiner/cooccurrence/cooccurrence.py | sha256=qcjfdv0-TifIuyK5ooSGL88v0OhbgRtpD68CSSBKmSI | 2743 |
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pyTextMiner/graphml/__init__.py | sha256=AeD3GHdjM3rTXRM1WHCH86Wqopc4G-4wtrqStysMTuQ | 12586 |
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pyTextMiner/keyword/textrank.py | sha256=nYGyAIA7EVAUmOBqg1uTpuGqxPZfxxneppctFC-9vaI | 9489 |
pyTextMiner/lemmatizer/__init__.py | sha256=8g_AUguV8vNCz2mDYwbXdGXCNdzPY3tTZoFhrvqHh1A | 10029 |
pyTextMiner/ngram/__init__.py | sha256=M5-ZKJQJk00hA-gNx8UxQvd1YgQlAuAIt-rdXkcqXzI | 758 |
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pyTextMiner/segmentation/WordSemgmentationModelBuilder.py | sha256=x4yvrBYf9IqCJE73mguOMhvmyDmLOwAPjlpJ2_C2Zp4 | 905 |
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pyTextMiner/tokenizer/__init__.py | sha256=TGXL75qPJmVDxzWKhNYC65b8DNjA6x0XWfcpFiSu6FU | 3529 |
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py_node2vec/node2vecModel.py | sha256=Ypab9SSc-1fDShIM-DedZvzrhe7nfa-JvU73OMsYBrs | 4845 |
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word2vec/word_embeddings.py | sha256=MncAxZWZG7ECS658hppd8ONMQ-V1s3wOptehV2KM9Bc | 17911 |
pyTextMiner-1.1.116.dist-info/LICENSE | sha256=6kbiFSfobTZ7beWiKnHpN902HgBx-Jzgcme0SvKqhKY | 1091 |
pyTextMiner-1.1.116.dist-info/METADATA | sha256=B2wkmm0SttRQqiUMb48GEQDgvpIRkzZJWohAUwQUOXo | 1796 |
pyTextMiner-1.1.116.dist-info/WHEEL | sha256=YUYzQ6UQdoqxXjimOitTqynltBCkwY6qlTfTh2IzqQU | 97 |
pyTextMiner-1.1.116.dist-info/top_level.txt | sha256=KGU4nAbf5Zl_I4o62FYClKw-JKwZzz-1c9PhWlQzonw | 175 |
pyTextMiner-1.1.116.dist-info/RECORD | — | — |
top_level.txt
ack_mining
doc2vec
document_classification
document_clustering
examples
glove-win_devc_x64
pyTextMiner
py_node2vec
sent2vec
sentiment
summarization
tests
topic_model
word2vec