[
https://issues.apache.org/jira/browse/TIKA-2038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15416049#comment-15416049
]
Shabanali Faghani commented on TIKA-2038:
-----------------------------------------
Ok, I will write a code to do that and this time I will test more
urls/languages/countries. But since I haven’t access to a broadband Internet
connection it would be great if you could run the code and send back me the
results. Otherwise I will ask [my
friend|https://scholar.google.com/citations?user=qVK1m-AAAAAJ&hl=en&oi=ao], who
was my co-author of the paper, to help us.
Please send me your markup stripper so I can use it in my code to evaluate your
both stripper and proposed algorithm. And also let me know how should I call
Tika’s legacy charset detector algorithm.
BTW, what is tika-eval code?
> 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, 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)