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{ | |
"embeddings": [ | |
{ | |
"tensorName": "FastText-Common-Crawl-Vectors-Turkish-32494", | |
"tensorShape": [ | |
32494, | |
300 | |
], | |
"tensorPath": "https://s3.eu-central-1.amazonaws.com/tabilab/word_embeddings/fast_text/alltext_editorial_300.tr.32494.parsed.vec", | |
"metadataPath": "https://s3.eu-central-1.amazonaws.com/tabilab/word_embeddings/fast_text/alltext_editorial_300.tr.32494.parsed.meta" |
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{ | |
"embeddings": [ | |
{ | |
"tensorName": "FastText-Common-Crawl-Vectors-Turkish-36849", | |
"tensorShape": [ | |
944241, | |
300 | |
], | |
"tensorPath": "https://s3.eu-central-1.amazonaws.com/tabilab/word_embeddings/fast_text/cc.tr.36849.parsed.vec", | |
"metadataPath": "https://s3.eu-central-1.amazonaws.com/tabilab/word_embeddings/fast_text/cc.tr.36849.parsed.meta" |
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{ | |
"embeddings": [ | |
{ | |
"tensorName": "Fast Text-Turkish-31924", | |
"tensorShape": [ | |
50000, | |
300 | |
], | |
"tensorPath": "https://s3.eu-central-1.amazonaws.com/tabilab/word_embeddings/fast_text/wiki.tr.31924.parsed.vec", | |
"metadataPath": "https://s3.eu-central-1.amazonaws.com/tabilab/word_embeddings/fast_text/wiki.tr.31924.parsed.meta" |
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{ | |
"embeddings": [ | |
{ | |
"tensorName": "Fast Text-Turkish-50000", | |
"tensorShape": [ | |
50000, | |
300 | |
], | |
"tensorPath": "https://s3.eu-central-1.amazonaws.com/tabilab/word_embeddings/fast_text/wiki.tr.50000.space.tab.vec", | |
"metadataPath": "https://s3.eu-central-1.amazonaws.com/tabilab/word_embeddings/fast_text/wiki.tr.50000.space.meta.tsv" |
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https://www.ntv.com.tr/gundem.rss | |
https://www.ntv.com.tr/dunya-kupasi-2018.rss | |
https://www.ntv.com.tr/turkiye.rss | |
https://www.ntv.com.tr/dunya.rss | |
https://www.ntv.com.tr/ekonomi.rss | |
https://www.ntv.com.tr/spor.rss | |
https://www.ntv.com.tr/teknoloji.rss | |
https://www.ntv.com.tr/yasam.rss | |
https://www.ntv.com.tr/seyahat.rss | |
https://www.ntv.com.tr/saglik.rss |
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import gensim, logging | |
import os | |
import sys | |
import codecs | |
def main(): | |
program = os.path.basename(sys.argv[0]) | |
logger = logging.getLogger(program) | |
logging.basicConfig(format='%(asctime)s: %(levelname)s: %(message)s') |
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{ | |
"embeddings": [ | |
{ | |
"tensorName": "Fast Text-Turkish", | |
"tensorShape": [ | |
416051, | |
300 | |
], | |
"tensorPath": "https://s3.eu-central-1.amazonaws.com/tabilab/word_embeddings/fast_text/wiki.tr.vec", | |
"metadataPath": "https://s3.eu-central-1.amazonaws.com/tabilab/word_embeddings/fast_text/metadata.tsv" |