Website stats and analysis

FastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.

2.48 Rating by Usitestat

It has a alexa rank of #306,542 in the world. It is a domain having .cc extension. It is estimated worth of $ 30,240.00 and have a daily income of around $ 56.00. As no active threats were reported recently, fasttext.cc is SAFE to browse.

Traffic Report

Daily Unique Visitors: 5,005
Daily Pageviews: 20,020

Estimated Valuation

Income Per Day: $ 56.00
Estimated Worth: $ 30,240.00

Search Engine Indexes

Google Indexed Pages: Not Applicable
Yahoo Indexed Pages: Not Applicable
Bing Indexed Pages: Not Applicable

Search Engine Backlinks

Google Backlinks: Not Applicable
Bing Backlinks: Not Applicable
Alexa BackLinks: Not Applicable

Safety Information

Google Safe Browsing: No Risk Issues
Siteadvisor Rating: Not Applicable
WOT Trustworthiness: Very Poor
WOT Privacy: Very Poor
WOT Child Safety: Very Poor

Website Ranks & Scores

Alexa Rank: 306,542
PageSpeed Score: 89 ON 100
Domain Authority: 49 ON 100
Bounce Rate: Not Applicable
Time On Site: Not Applicable

Web Server Information

Hosted IP Address:

104.21.47.198

Hosted Country:

United States US

Location Latitude:

37.7757

Location Longitude:

-122.395

Traffic Classification

Total Traffic: 64.42K
Direct Traffic: 38.74%
Referral Traffic: 15.12%
Search Traffic: 45.30%
Social Traffic: 0.83%
Mail Traffic: 0%
Display Traffic: 0%

Search Engine Results For fasttext.cc

Memory efficiently loading of pretrained word embeddings from ...

- https://stackoverflow.com/questions/59282572/memory-efficiently-loading-of-pretrained-word-embeddings-from-fasttext-library-w

cc.de.300.bin (7 GB). Gensim offers the following two options for loading fasttext files: gensim.models.fasttext.


Library for fast text representation and classification. | PythonRepo

- https://pythonrepo.com/repo/facebookresearch-fastText-python-natural-language-processing

3 days ago ... Assertion failed: (counts.size() == osz_), function setTargetCounts, file src/model. cc, line 188. Abort trap: 6. model train command was: ./fasttext ...


gluonnlp.embedding — gluonnlp 1.0.0.dev documentation

- https://nlp.gluon.ai/master/api/embedding.html

This method will load fasttext model binaray file from a given file path or remote sources, and return a fasttext model object. See fasttext.cc for more usage ...


Text Analytics Toolbox Model for fastText English 16 Billion Token ...

- https://www.mathworks.com/matlabcentral/fileexchange/66229-text-analytics-toolbox-model-for-fasttext-english-16-billion-token-word-embedding

For more information on the pre-trained word vector model see : https://fasttext.cc/ docs/en/english-vectors.html. Opening the fasttext.mlpkginstall file from your ...


FastText Users | Facebook

- https://www.facebook.com/groups/1174547215919768/

Code available at: https://github.com/facebookresearch/fastText. ... fasttext.cc. fastText. Library for efficient text classification and representation learning. 6.


Get FastText representation from pretrained embeddings with ...

- http://christopher5106.github.io/deep/learning/2020/04/02/fasttext_pretrained_embeddings_subword_word_representations.html

Apr 2, 2020 ... mkdir /sharedfiles/fasttext for LANG in en fr; do echo "Downloading for lang $ LANG"; wget https://dl.fbaipublicfiles.com/fasttext/vectors-crawl/cc.


How do I load FastText pretrained model with Gensim? - Data ...

- https://datascience.stackexchange.com/questions/20071/how-do-i-load-fasttext-pretrained-model-with-gensim

pip install fasttext import fasttext.util fasttext.util.download_model('en', if_exists=' ignore') # English ft = fasttext.load_model('cc.en.300.bin'). Works...


Package 'fastText'

- https://cran.r-project.org/web/packages/fastText/fastText.pdf

May 27, 2021 ... more info see https://fasttext.cc/docs/en/language-identification.html k predict top k labels (1 by default) th probability threshold (0.0 by default).


fasttext — Homebrew Formulae

- https://formulae.brew.sh/formula/fasttext

fasttext. Install command: brew install fasttext. Library for fast text representation and classification. https://fasttext.cc. License: MIT. /api/formula/fasttext.json ...


FastText - Wiki | Golden

- https://golden.com/wiki/FastText-AMB6RZG

fastText is an open source library designed to help build scalable solutions for text ... FAIR proposed fastText in 2016. ... https://fasttext.cc/docs/en/support.html.


fastText

- https://fasttext.cc/

What is fastText? ... FastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard , ...


Language detection - IBM

- https://www.ibm.com/docs/SSCKRH_6.5.0/sifs/c_si_languagedetection.html

This service uses a machine learning library called FastText (https://fasttext.cc/) that was developed by Facebook. The library is used to train a language classifier ...


FastText - Reviews, Pros & Cons | Companies using FastText

- https://stackshare.io/fasttext

See what developers are saying about how they use FastText. ... Library for efficient text classification and representation learning. Company Profile · fasttext. cc.


Word Embeddings for Bengali (bengali_cc_300d)- Spark NLP Model

- https://nlp.johnsnowlabs.com/2021/02/10/bengali_cc_300d_bn.html

Feb 10, 2021 ... DescriptionThis model is trained on Common Crawl and Wikipedia using fastText . It is trained using CBOW with position-weights, in dimension ...


Text API — mxnet documentation

- https://mxnet.apache.org/versions/1.5.0/api/python/contrib/text.html

Now we are ready to look up the fastText word embedding vectors for indexed words, such as 'hello' and 'world'. ... (Source from https://fasttext.cc/). References.


fasttext pre-training word vector loading - Programmer Sought

- https://www.programmersought.com/article/19035342640/

from gensim.models import FastText. FASTTEXTFILE = "./fastText/cc.en.300.bin".


fasttext · pkg.go.dev

- https://pkg.go.dev/github.com/ekzhu/go-fasttext?utm_source=godoc

Oct 31, 2020 ... Package fasttext provides a simple wrapper for Facebook fastText dataset (https:// fasttext.cc/docs/en/crawl-vectors.html). It allows fast look-up of ...


Support fastText as Word Embeddings in NerDLModel - spark-nlp

- https://www.gitmemory.com/issue/JohnSnowLabs/spark-nlp/347/514555764

https://fasttext.cc/docs/en/crawl-vectors.html. I have found a very nice statement about GloVe, word2vec, and fastText which I quote it here: A key difference is ...


Advances in Pre-Training Distributed Word Representations

- https://www.aclweb.org/anthology/L18-1008.pdf

We focus mainly on. 1https://fasttext.cc/ known modifications and data pre- processing strategies that are rarely used together: the position dependent features in-.


Pretrained Word Embeddings · 26

- https://ybbaigo.gitbooks.io/26/pretrained-word-embeddings.html

fastText. 1 million word vectors trained on Wikipedia 2017, UMBC webbase ... https://fasttext.cc/docs/en/english-vectors.html https://arxiv.org/pdf/1310.4546.pdf  ...


Issues with Skip-Gram | Data Science and Machine Learning | Kaggle

- https://www.kaggle.com/discussion/206902

**Note : A fasttext open-source library, including pretrained embeddings for 157 languages, is available at https://fasttext.cc. Quote. Follow. Bookmark ...


torchnlp.word_to_vector package — PyTorch-NLP 0.5.0 ...

- https://pytorchnlp.readthedocs.io/en/latest/source/torchnlp.word_to_vector.html

https://arxiv.org/abs/1607.04606 · https://fasttext.cc/ · https://arxiv.org/abs/ ... in the vector space across languages. if False: use regular FastText embeddings.

Page Resources Breakdown

Homepage Links Analysis

Library for efficient text classification and representation learning

Website Inpage Analysis

H1 Headings: Not Applicable H2 Headings: 13
H3 Headings: Not Applicable H4 Headings: Not Applicable
H5 Headings: 3 H6 Headings: Not Applicable
Total IFRAMEs: Not Applicable Total Images: 9
Google Adsense: Not Applicable Google Analytics: UA-44373548-30

Two Phrase Analysis

Words Occurrences Density Possible Spam
E Grave 3 1.875 % No
P Bojanowski 3 1.875 % No
A Joulin 3 1.875 % No
T Mikolov 3 1.875 % No
Grave P 2 1.25 % No
Joulin E 2 1.25 % No
vectors Pretrained 2 1.25 % No
word vectors 2 1.25 % No
text classification 2 1.25 % No
fastText commands 1 0.625 % No
of fastText 1 0.625 % No
review of 1 0.625 % No
commands References 1 0.625 % No
depth review 1 0.625 % No
Enriching Word 1 0.625 % No
Information P 1 0.625 % No
2020 Facebook 1 0.625 % No
Bojanowski E 1 0.625 % No
Subword Information 1 0.625 % No
with Subword 1 0.625 % No

Four Phrase Analysis

Words Occurrences Density Possible Spam
E Grave P Bojanowski 2 1.25 % No
Joulin E Grave P 2 1.25 % No
A Joulin E Grave 2 1.25 % No
with Subword Information P 1 0.625 % No
Subword Information P Bojanowski 1 0.625 % No
Information P Bojanowski E 1 0.625 % No
References Enriching Word Vectors 1 0.625 % No
Enriching Word Vectors with 1 0.625 % No
Vectors with Subword Information 1 0.625 % No
P Bojanowski E Grave 1 0.625 % No
Word Vectors with Subword 1 0.625 % No
Grave A Joulin T 1 0.625 % No
T Mikolov Bag of 1 0.625 % No
Mikolov Bag of Tricks 1 0.625 % No
Bag of Tricks for 1 0.625 % No
Joulin T Mikolov Bag 1 0.625 % No
A Joulin T Mikolov 1 0.625 % No
E Grave A Joulin 1 0.625 % No
commands References Enriching Word 1 0.625 % No
Bojanowski E Grave A 1 0.625 % No

Mobile Friendly Check


Mobile Friendly : Unknown
Score : Unknown

No data to show.

HTTP Header Analysis

Http-Version: 1.1
Status-Code: 200
Status: 200 OK
Date: Sun, 25 Apr 2021 04:31:34 GMT
Content-Type: text/html; charset=utf-8
Transfer-Encoding: chunked
Connection: keep-alive
Last-Modified: Sat, 18 Jul 2020 00:22:08 GMT
Vary: Accept-Encoding
Access-Control-Allow-Origin: *
expires: Sun, 25 Apr 2021 04:39:00 GMT
Cache-Control: max-age=600
x-proxy-cache: HIT
X-GitHub-Request-Id: DAEE:5A13:6BE725:AF46C0:6084F0A6
CF-Cache-Status: DYNAMIC
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Domain Nameserver Information

Host IP Address Country
norm.ns.cloudflare.com 108.162.193.134 United States United States
edna.ns.cloudflare.com 173.245.58.109 United States United States

DNS Record Analysis

Host Type TTL Extra
fasttext.cc A 297 IP: 172.67.172.111
fasttext.cc A 297 IP: 104.21.47.198
fasttext.cc NS 86400 Target: norm.ns.cloudflare.com
fasttext.cc NS 86400 Target: edna.ns.cloudflare.com
fasttext.cc SOA 3600 MNAME: edna.ns.cloudflare.com
RNAME: dns.cloudflare.com
Serial: 2034773974
Refresh: 10000
Retry: 2400
Expire: 604800
fasttext.cc TXT 300 TXT: v=spf1 a -all
fasttext.cc AAAA 296 IPV6: 2606:4700:3035::6815:2fc6
fasttext.cc AAAA 296 IPV6: 2606:4700:3032::ac43:ac6f

Alexa Traffic Rank

Alexa Search Engine Traffic

Top Organic Keyword

1. fasttext
2. fasttext embeddings
3. download pre-trained word vectors
4. pretrained model for indonesia word2vec
5. fast text

Top Paid Keyword

Not Applicable

Top Referral Site

1. github.com
2. link.csdn.net
3. towardsdatascience.com
4. brightspace.tudelft.nl
5. medium.com

Top Destination Site

1. arxiv.org
2. youtube.com
3. github.com
4. fb-public.app.box.com
5. commoncrawl.org

Full WHOIS Lookup

Domain Name: FASTTEXT.CC
Registry Domain ID:
129854733_DOMAIN_CC-VRSN
Registrar WHOIS Server:
whois.markmonitor.com
Registrar URL:
http://www.markmonitor.com
Updated Date:
2021-04-15T09:07:55Z
Creation Date:
2017-05-17T19:57:36Z
Registry Expiry Date:
2023-05-17T19:57:36Z
Registrar: MarkMonitor Inc.
Registrar
IANA ID: 292
Registrar Abuse Contact Email:
[email protected]
Registrar Abuse Contact Phone:
+1.2083895740
Domain Status: clientDeleteProhibited
https://icann.org/epp#clientDeleteProhibited
Domain Status:
clientTransferProhibited
https://icann.org/epp#clientTransferProhibited
Domain Status:
clientUpdateProhibited
https://icann.org/epp#clientUpdateProhibited
Name Server:
EDNA.NS.CLOUDFLARE.COM
Name Server:
NORM.NS.CLOUDFLARE.COM
DNSSEC: unsigned
URL of the ICANN Whois
Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last
update of WHOIS database: 2021-04-25T04:31:29Z

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