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https://issues.apache.org/jira/browse/TIKA-2038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15853350#comment-15853350
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Shabanali Faghani commented on TIKA-2038:
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bq. On further thought, I would like to build a smallish corpus from Common
Crawl for this purpose. If we did random sampling by url country code (.iq,
.kr, etc.) for the countries you've identified, would that meet our needs?
My experience shows that the diversity (of language and encoding together) in
input documents is much more important than the size of them. So, I’d to say
yeah, a fairly small corpus with enough diverse html documents would meet our
needs.
As an example about the effect of diversity in input documents (here diversity
of language), see the difference between accuracy of detector algorithms for
*.in* and *.ir* TLDs in the table above.
> A more accurate facility for detecting Charset Encoding of HTML documents
> -------------------------------------------------------------------------
>
> Key: TIKA-2038
> URL: https://issues.apache.org/jira/browse/TIKA-2038
> Project: Tika
> Issue Type: Improvement
> Components: core, detector
> Reporter: Shabanali Faghani
> Priority: Minor
> Attachments: comparisons_20160803b.xlsx, comparisons_20160804.xlsx,
> iust_encodings.zip, lang-wise-eval_results.zip, lang-wise-eval_runnable.zip,
> lang-wise-eval_source_code.zip, tika_1_14-SNAPSHOT_encoding_detector.zip
>
>
> Currently, Tika uses icu4j for detecting charset encoding of HTML documents
> as well as the other naturally text documents. But the accuracy of encoding
> detector tools, including icu4j, in dealing with the HTML documents is
> meaningfully less than from which the other text documents. Hence, in our
> project I developed a library that works pretty well for HTML documents,
> which is available here: https://github.com/shabanali-faghani/IUST-HTMLCharDet
> Since Tika is widely used with and within some of other Apache stuffs such as
> Nutch, Lucene, Solr, etc. and these projects are strongly in connection with
> the HTML documents, it seems that having such an facility in Tika also will
> help them to become more accurate.
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