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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/c013f617/userguide/misc/prediction.html ---------------------------------------------------------------------- diff --git a/userguide/misc/prediction.html b/userguide/misc/prediction.html index 83a5c90..fae3594 100644 --- a/userguide/misc/prediction.html +++ b/userguide/misc/prediction.html @@ -523,7 +523,7 @@ <b>2.3.</b> - English/Japanese Text Tokenizer + Text Tokenizer </a> @@ -1911,6 +1911,21 @@ </li> + <li class="chapter " data-level="13.2.2" data-path="../spark/binaryclass/a9a_sql.html"> + + <a href="../spark/binaryclass/a9a_sql.html"> + + + <b>13.2.2.</b> + + a9a Tutorial for SQL + + </a> + + + + </li> + </ul> @@ -1947,6 +1962,21 @@ </li> + <li class="chapter " data-level="13.3.2" data-path="../spark/regression/e2006_sql.html"> + + <a href="../spark/regression/e2006_sql.html"> + + + <b>13.3.2.</b> + + E2006-tfidf regression Tutorial for SQL + + </a> + + + + </li> + </ul> @@ -2352,7 +2382,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; 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charset=utf-8" http-equiv="Content-Type"> - <title>English/Japanese Text Tokenizer · Hivemall User Manual</title> + <title>Text Tokenizer · Hivemall User Manual</title> <meta http-equiv="X-UA-Compatible" content="IE=edge" /> <meta name="description" content=""> <meta name="generator" content="GitBook 3.2.2"> @@ -523,7 +523,7 @@ <b>2.3.</b> - English/Japanese Text Tokenizer + Text Tokenizer </a> @@ -1911,6 +1911,21 @@ </li> + <li class="chapter " data-level="13.2.2" data-path="../spark/binaryclass/a9a_sql.html"> + + <a href="../spark/binaryclass/a9a_sql.html"> + + + <b>13.2.2.</b> + + a9a Tutorial for SQL + + </a> + + + + </li> + </ul> @@ -1947,6 +1962,21 @@ </li> + <li class="chapter " data-level="13.3.2" data-path="../spark/regression/e2006_sql.html"> + + <a href="../spark/regression/e2006_sql.html"> + + + <b>13.3.2.</b> + + E2006-tfidf regression Tutorial for SQL + + </a> + + + + </li> + </ul> @@ -2092,7 +2122,7 @@ <!-- Title --> <h1> <i class="fa fa-circle-o-notch fa-spin"></i> - <a href=".." >English/Japanese Text Tokenizer</a> + <a href=".." >Text Tokenizer</a> </h1> </div> @@ -2129,24 +2159,62 @@ <p>Hivemall provides simple English text tokenizer UDF that has following syntax:</p> <pre><code class="lang-sql">tokenize(text input, optional boolean toLowerCase = false) </code></pre> -<h1 id="tokenizer-for-japanese-texts">Tokenizer for Japanese Texts</h1> -<p>Hivemall-NLP module provides a Japanese text tokenizer UDF using <a href="https://github.com/atilika/kuromoji"; target="_blank">Kuromoji</a>. </p> -<p>First of all, you need to issue the following DDLs to use the NLP module. Note NLP module is not included in <a href="https://github.com/myui/hivemall/releases"; target="_blank">hivemall-with-dependencies.jar</a>.</p> +<h1 id="tokenizer-for-non-english-texts">Tokenizer for Non-English Texts</h1> +<p>Hivemall-NLP module provides some Non-English Text tokenizer UDFs as follows.</p> +<p>First of all, you need to issue the following DDLs to use the NLP module. Note NLP module is not included in <code>hivemall-with-dependencies.jar</code>.</p> <blockquote> -<p>add jar /tmp/<a href="https://github.com/myui/hivemall/releases"; target="_blank">hivemall-nlp-xxx-with-dependencies.jar</a>;</p> -<p>source /tmp/<a href="https://github.com/myui/hivemall/releases"; target="_blank">define-additional.hive</a>;</p> +<p>add jar /path/to/hivemall-nlp-xxx-with-dependencies.jar;</p> +<p>source /path/to/define-additional.hive;</p> </blockquote> +<h2 id="japanese-tokenizer">Japanese Tokenizer</h2> +<p>Japanese text tokenizer UDF uses <a href="https://github.com/atilika/kuromoji"; target="_blank">Kuromoji</a>. </p> <p>The signature of the UDF is as follows:</p> -<pre><code class="lang-sql">tokenize_ja(text input, optional const text mode = "normal", optional const array<string> stopWords, optional const array<string> stopTags) +<pre><code class="lang-sql">tokenize_ja(text input, optional const text mode = "normal", optional const array<string> stopWords, const array<string> stopTags, const array<string> userDict) </code></pre> -<p><em>Caution: <code>tokenize_ja</code> is supported since Hivemall v0.4.1 and later.</em></p> -<p>It's basic usage is as follows:</p> +<div class="panel panel-primary"><div class="panel-heading"><h3 class="panel-title" id="note"><i class="fa fa-edit"></i> Note</h3></div><div class="panel-body"><p><code>tokenize_ja</code> is supported since Hivemall v0.4.1, and the fifth argument is supported since v0.5-rc.1 and later.</p></div></div> +<p>Its basic usage is as follows:</p> <pre><code class="lang-sql"><span class="hljs-keyword">select</span> tokenize_ja(<span class="hljs-string">"kuromojiを使った分かち書きのテストです。第二引数にはnormal/search/extendedを指定できます。デフォルトではnormalモードです。"</span>); </code></pre> <blockquote> <p>["kuromoji","使う","分かち書き","テスト","第","二","引数","normal","search","extended","指定","デフォルト","normal","モード"]</p> </blockquote> -<p>For detailed APIs, please refer Javadoc of <a href="https://lucene.apache.org/core/5_3_1/analyzers-kuromoji/org/apache/lucene/analysis/ja/JapaneseAnalyzer.html"; target="_blank">JapaneseAnalyzer</a> as well. +<p>In addition, the third and fourth argument respectively allow you to use your own list of stop words and stop tags. For example, the following query simply ignores "kuromoji" (as a stop word) and noun word "分かち書き" (as a stop tag):</p> +<pre><code class="lang-sql"><span class="hljs-keyword">select</span> tokenize_ja(<span class="hljs-string">"kuromojiを使った分かち書きのテストです。"</span>, <span class="hljs-string">"normal"</span>, <span class="hljs-built_in">array</span>(<span class="hljs-string">"kuromoji"</span>), <span class="hljs-built_in">array</span>(<span class="hljs-string">"名詞-一般"</span>)); +</code></pre> +<blockquote> +<p>["を","使う","た","の","テスト","です"]</p> +</blockquote> +<p>Moreover, the fifth argument <code>userDict</code> enables you to register a user-defined custom dictionary in <a href="https://github.com/atilika/kuromoji/blob/909fd6b32bf4e9dc86b7599de5c9b50ca8f004a1/kuromoji-core/src/test/resources/userdict.txt"; target="_blank">Kuromoji official format</a>:</p> +<pre><code class="lang-sql"><span class="hljs-keyword">select</span> tokenize_ja(<span class="hljs-string">"日本経済新聞＆関西国際空港"</span>, <span class="hljs-string">"normal"</span>, <span class="hljs-literal">null</span>, <span class="hljs-literal">null</span>, + <span class="hljs-built_in">array</span>( + <span class="hljs-string">"日本経済新聞,日本 経済 新聞,ニホン ケイザイ シンブン,カスタム名詞"</span>, + <span class="hljs-string">"関西国際空港,関西 国際 空港,カンサイ コクサイ クウコウ,テスト名詞"</span> + )); +</code></pre> +<blockquote> +<p>["日本","経済","新聞","関西","国際","空港"]</p> +</blockquote> +<p>Note that you can pass <code>null</code> to each of the third and fourth argument to explicitly use Kuromoji's default stop words and stop tags. </p> +<p>If you have a large custom dictionary as an external file, <code>userDict</code> can also be <code>const string userDictURL</code> which indicates URL of the external file on somewhere like Amazon S3:</p> +<pre><code class="lang-sql"><span class="hljs-keyword">select</span> tokenize_ja(<span class="hljs-string">"日本経済新聞＆関西国際空港"</span>, <span class="hljs-string">"normal"</span>, <span class="hljs-literal">null</span>, <span class="hljs-literal">null</span>, + <span class="hljs-string">"https://raw.githubusercontent.com/atilika/kuromoji/909fd6b32bf4e9dc86b7599de5c9b50ca8f004a1/kuromoji-core/src/test/resources/userdict.txt"</span>); +</code></pre> +<blockquote> +<p>["日本","経済","新聞","関西","国際","空港"]</p> +</blockquote> +<p>For detailed APIs, please refer Javadoc of <a href="https://lucene.apache.org/core/5_3_1/analyzers-kuromoji/org/apache/lucene/analysis/ja/JapaneseAnalyzer.html"; target="_blank">JapaneseAnalyzer</a> as well.</p> +<h2 id="chinese-tokenizer">Chinese Tokenizer</h2> +<p>Chinese text tokenizer UDF uses <a href="http://lucene.apache.org/core/5_3_1/analyzers-smartcn/org/apache/lucene/analysis/cn/smart/SmartChineseAnalyzer.html"; target="_blank">SmartChineseAnalyzer</a>. </p> +<p>The signature of the UDF is as follows:</p> +<pre><code class="lang-sql">tokenize_cn(string line, optional const array<string> stopWords) +</code></pre> +<p>Its basic usage is as follows:</p> +<pre><code class="lang-sql"><span class="hljs-keyword">select</span> tokenize_cn(<span class="hljs-string">"Smartcn为Apache2.0协议的开源中文分词系统，Java语言编写，修改的中科院计算所ICTCLAS分词系统。"</span>); +</code></pre> +<blockquote> +<p>[smartcn, 为, apach, 2, 0, 协议, 的, 开源, 中文, 分词, 系统, java, 语言, 编写, 修改, 的, 中科院, 计算, 所, ictcla, 分词, 系统]</p> +</blockquote> +<p>For detailed APIs, please refer Javadoc of <a href="http://lucene.apache.org/core/5_3_1/analyzers-smartcn/org/apache/lucene/analysis/cn/smart/SmartChineseAnalyzer.html"; target="_blank">SmartChineseAnalyzer</a> as well. <div id="page-footer" class="localized-footer"><hr><!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. 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