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TLAF

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1.1 TLAF-1.1-py3-none-any.whl

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Project: TLAF
Version: 1.1
Filename: TLAF-1.1-py3-none-any.whl
Download: [link]
Size: 532027
MD5: cb781a263769ae2e1423bd202e657c53
SHA256: 40272856facf762a02acfb04a1cb6d0f689d52f27fb62106e42e58e59bee8af6
Uploaded: 2021-07-22 11:54:52 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: TLAF
Version: 1.1
Summary: TLA is built using PyTorch, Transformers and several other State-of-the-Art machine learning techniques and it aims to expedite and structure the cumbersome process of collecting, labeling, and analyzing data from Twitter for a corpus of languages while providing detailed labeled datasets for all the languages.
Author: Tushar Sarkar , Nishant Rajadhyaksha
Author-Email: tushar.sarkar[at]somaiya.edu, n.rajadhyaksha[at]somaiya.edu
Home-Page: https://github.com/tusharsarkar3/TLA
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
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Description-Content-Type: text/markdown
[Description omitted; length: 9338 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
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Tag: py3-none-any

RECORD

Path Digest Size
TLA/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
TLA/Analysis/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
TLA/Analysis/analyse.py sha256=4YHJWgHHRtV2QNHHfNAcI2lJ9oCkGRDWdAoLXg1ZZY4 240
TLA/Analysis/get_sentiment.py sha256=RvYClXtIXGLAH_7tXl05Ldp4u6cidiFoOrKiBxFSqtM 1243
TLA/Analysis/lang_mapping.py sha256=DSVgydkliAfwIFLxTtFponzzWQ5ZwgDcIRmVs3tj4UQ 590
TLA/Analysis/table_1.py sha256=UNAx6d_LJKT2tphTAytwB5fV5kLUydQyQ5Bu9ffQQiU 1254
TLA/Analysis/table_2.py sha256=1WeCm2-TT4b9lwpNGXtKbejE58Ginrdd_RkOHvN5GXQ 1422
TLA/Analysis/train_rf.py sha256=3DG6cuEFP_MpHGnvzsQt0rwjtg441sz6957maCb7g74 3754
TLA/Data/Pre_Process_Tweets.py sha256=SgS8vS5LAk8EAOatAImfCTcop8J8riand0UuR_cbcos 2112
TLA/Data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
TLA/Data/get_data.py sha256=4S7-CPVy7vx00gxle63XPmmWErNYKoSKTlOCYKuIHYY 1096
TLA/Data/get_tweets.py sha256=YAJfYndIunxOpUxkqcJbcy3vQr6Uvk5RRix60wGBJRU 1603
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TLA/Datasets/get_data_ja.csv sha256=Wlsqey3tAntkLdq1tQ71AaLiFjm2XOMhluGzvLvgDhE 97993
TLA/Datasets/get_data_nl.csv sha256=7Bego7Us1mRmm3BYlODb2tIAl0jUX18JcUdxlnz5zaA 53632
TLA/Datasets/get_data_pt.csv sha256=fTGRUQnGOjsmedaDHk-RNLWIgdjrc7MB27N27yHW7-k 105490
TLA/Datasets/get_data_ro.csv sha256=kertviLYV9CG83OeWbG3MWAfi2L1NfcrcBSZv9df-P0 76272
TLA/Datasets/get_data_ru.csv sha256=S9fe_ZWirfsVRP6ZLui8G2DuRVCN4Tw8upVBSvTE9Nk 41544
TLA/Datasets/get_data_sv.csv sha256=_cr6YKZB7ujUSrOJu4ho11E-Io9P50ToyuVCyL_qDCw 45503
TLA/Datasets/get_data_th.csv sha256=gAAZ3ItD0q_PUL7SFN5cjNWPrnJK22eEMDaGw_mVyTQ 105813
TLA/Datasets/get_data_tr.csv sha256=c-XwJfry0_FjGkXl1HtvzVttw5Wwcc6TXerSfAFGByk 135159
TLA/Datasets/get_data_ur.csv sha256=Fk5qP5HUbMwhByIHorInJ1NnmF0V7fpPBAua4T7_OJI 14520
TLA/Datasets/get_data_zh-cn.csv sha256=PFbvAYU3mWiW-_nb0pNmRXTHNnkZnEKKwKSmZq7vFp4 98260
TLA/Datasets/get_lang_data.py sha256=ftut78sZ7ykpiSr4mOMED_XBBpFtulivDU0820--ae8 443
TLA/Lang_Classify/model.py sha256=QOY2jffFQBJEbpkA7F-SeuVv-eHAF7RUz5ILI3ZNymA 1539
TLA/Lang_Classify/predict.py sha256=a9eEVwrve2EZGZZnBkUKOtkJth2E3AfYGZRAsex1mzw 1768
TLA/Lang_Classify/train.py sha256=0qDG7mYWqK6M-YA-O-Ub7IXxM8KlTtnlqWVCObIGNvg 5018
TLA/Lang_Classify/training_utils.py sha256=XWmvydZvOQkbm7KcK6jM6klK1gEQERxp8PiHibod6vI 3356
TLAF-1.1.dist-info/License.txt sha256=RBhg5hIyHCQyj9Hd6pdx4QVzRdIfplLdnbuNB0fm2H4 1093
TLAF-1.1.dist-info/METADATA sha256=kNYpP2HFjYNbV3BlxOMDZ1zHXpSWfm8fxsb-cZNmWeY 11437
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TLAF-1.1.dist-info/RECORD — —

top_level.txt

TLA