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https://issues.apache.org/jira/browse/TIKA-2038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15883404#comment-15883404
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Tim Allison commented on TIKA-2038:
-----------------------------------

The table of comparisons on an 80% random slice of the data is available in a 
file named {{charset_comparisons_training.zip}} on [this 
page|http://162.242.228.174/encoding_detection/].  I still have to run Tika 
with these various encoding detectors and compare the content...next week or 
the following.

Let me know what you find.

> 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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