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https://issues.apache.org/jira/browse/TIKA-2038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15871753#comment-15871753
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Tim Allison commented on TIKA-2038:
-----------------------------------
Let's use tika-eval's "common tokens" metric as one performance metric. To do
that, we'll need common tokens from the likely languages in the test set.
> 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, proposedTLDSampling.csv,
> tika_1_14-SNAPSHOT_encoding_detector.zip, tld_text_html_plus_H_column.xlsx,
> tld_text_html.xlsx
>
>
> 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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