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Text Summarization API for Python. Text Summarization API for Ruby. Text Summarization API for Node.js. Text Summarization API for Java. Text Summarization API for PHP. Text Summarization API for Objective-C. Text Summarization API for .Net. We provide this professional Text Summarization API. If you have any questions or want any customized text analysis services, contact us by email: textanalysisapi@gmail.com. 2014 Text Summarization Text Summarizer.

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Text Summarization API for Python. Text Summarization API for Ruby. Text Summarization API for Node.js. Text Summarization API for Java. Text Summarization API for PHP. Text Summarization API for Objective-C. Text Summarization API for .Net. We provide this professional Text Summarization API. If you have any questions or want any customized text analysis services, contact us by email: textanalysisapi@gmail.com. 2014 Text Summarization Text Summarizer.

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Text Summarization Api For Java - TextSummarization | Text Summarization Online | Text Summarization Demo | Text Summarization API

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Text Summarization API for Python. Text Summarization API for Ruby. Text Summarization API for Node.js. Text Summarization API for Java. Text Summarization API for PHP. Text Summarization API for Objective-C. Text Summarization API for .Net. Text Summarization API for Java. To use our Text Summarization API. In Java, you need install the Unirest for Java. It's about as easy as doing these little steps:. You can use Maven by including the library:. Dependency groupId org.apache.httpcomponents /gro...Reque...

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Text Summarization Api For Ruby - TextSummarization | Text Summarization Online | Text Summarization Demo | Text Summarization API

http://textsummarization.net/text-summarization-api-for-ruby

Text Summarization API for Python. Text Summarization API for Ruby. Text Summarization API for Node.js. Text Summarization API for Java. Text Summarization API for PHP. Text Summarization API for Objective-C. Text Summarization API for .Net. Text Summarization API for Ruby. To use our Text Summarization API. In Ruby, you need install the Unirest for Ruby. Requirements: Ruby = 2.0 To utilize unirest for ruby, install the unirest gem:. The request created with Unirest Ruby library like this:. Now it's time...

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Text Summarization API for Python. Text Summarization API for Ruby. Text Summarization API for Node.js. Text Summarization API for Java. Text Summarization API for PHP. Text Summarization API for Objective-C. Text Summarization API for .Net. Text Summarization API for .Net. To use our Text Summarization API. In Net, you need install the Unirest for .Net. Just download this entire unirest-net library and reference in your project. The request created with Unirest .Net library like this:. It supports form ...

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Text Summarization Api For Python - TextSummarization | Text Summarization Online | Text Summarization Demo | Text Summarization API

http://textsummarization.net/text-summarization-api-for-python

Text Summarization API for Python. Text Summarization API for Ruby. Text Summarization API for Node.js. Text Summarization API for Java. Text Summarization API for PHP. Text Summarization API for Objective-C. Text Summarization API for .Net. Text Summarization API for Python. To use our Text Summarization API. In Python, you need install the Unirest for Python. Client library first. The simplest way install it by pip:. After installing the pip package, you can test it by imporint unirest:. Unirest is a s...

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Text Summarization Api For Nodejs - TextSummarization | Text Summarization Online | Text Summarization Demo | Text Summarization API

http://textsummarization.net/text-summarization-api-for-nodejs

Text Summarization API for Python. Text Summarization API for Ruby. Text Summarization API for Node.js. Text Summarization API for Java. Text Summarization API for PHP. Text Summarization API for Objective-C. Text Summarization API for .Net. Text Summarization API for Node.js. To use our Text Summarization API. In Node.js, you need install the Unirest for Node.js. To utilize unirest for node.js, install the npm module:. After installing the npm package, you can now start simplifying requests licke so:.

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52nlp.cn

52nlp | 我爱自然语言处理

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I Love Natural Language Processing. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 接上文深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1 … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0. 接上文深度学习主机攒机小记，这台GTX1080主机准备好之后，就是配置深度学 … 继续阅读 →. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 五月中下旬的时候，GTX1080的公布和发售直接刺激了我攒一台深度学习主机的欲望 … 继续阅读 →. 因为有同学在微信后台咨询这个问题，所以这里简单记录一下，其实自己之前也摸索了一些 … 继续阅读 →. 斯坦福大学在三月份开设了一门深度学习与自然语言处理的课程 CS224d: D … 继续阅读 →. 注出门问问是我们的老朋友，创始人李志飞也是NLP和机器翻译领域的大牛，今天出门 … 继续阅读 →.

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Python中文分词 | 我爱自然语言处理

http://www.52nlp.cn/tag/python中文分词

I Love Natural Language Processing. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. MeCab是一套日文分词形态分析和词性标注系统 Yet Another Pa … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0. 非主流自然语言处理遗忘算法系列四改进TF-IDF权重公式. 非主流自然语言处理遗忘算法系列三分词. 非主流自然语言处理遗忘算法系列二大规模语料词库生成. 非主流自然语言处理遗忘算法系列一算法概述.

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Mecab | 我爱自然语言处理

http://www.52nlp.cn/tag/mecab

I Love Natural Language Processing. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. 最近试了一下Word2Vec, GloVe 以及对应的python版本 gens … 继续阅读 →. MeCab是一套日文分词形态分析和词性标注系统 Yet Another Pa … 继续阅读 →. 一、日文分词器 MeCab 简介 mecab (http:/ mecab.sou … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0.

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MeCab中文分词 | 我爱自然语言处理

http://www.52nlp.cn/tag/mecab中文分词

I Love Natural Language Processing. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. MeCab是一套日文分词形态分析和词性标注系统 Yet Another Pa … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0. 非主流自然语言处理遗忘算法系列四改进TF-IDF权重公式. 非主流自然语言处理遗忘算法系列三分词. 非主流自然语言处理遗忘算法系列二大规模语料词库生成. 非主流自然语言处理遗忘算法系列一算法概述.

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Java中文分词 | 我爱自然语言处理

http://www.52nlp.cn/tag/java中文分词

I Love Natural Language Processing. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. MeCab是一套日文分词形态分析和词性标注系统 Yet Another Pa … 继续阅读 →. 斯坦福大学自然语言处理组是世界知名的NLP研究小组，他们提供了一系列开源的Jav … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0. 非主流自然语言处理遗忘算法系列四改进TF-IDF权重公式. 非主流自然语言处理遗忘算法系列三分词.

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中文信息处理 | 我爱自然语言处理

http://www.52nlp.cn/category/chinese-information-processing

I Love Natural Language Processing. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. MeCab是一套日文分词形态分析和词性标注系统 Yet Another Pa … 继续阅读 →. 背景 CIKM Cup(或者称为CIKM Competition)是ACM CI … 继续阅读 →. 斯坦福大学自然语言处理组是世界知名的NLP研究小组，他们提供了一系列开源的Jav … 继续阅读 →. 将中文分词入门之字标注法这个系列整理成了一个PDF文档放到微盘中了，感兴趣的 … 继续阅读 →. 句义结构分析是汉语语义分析中不可逾越的重要环节，为了满足汉语句义结构分析的需要， … 继续阅读 →. NLTK配套书用Python进行自然语言处理 (Natural Langu … 继续阅读 →.

52nlp.cn

中文分词 | 我爱自然语言处理

http://www.52nlp.cn/category/word-segmentation

I Love Natural Language Processing. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. Hellip; 继续阅读 →. MeCab是一套日文分词形态分析和词性标注系统 Yet Another Pa … 继续阅读 →. 斯坦福大学自然语言处理组是世界知名的NLP研究小组，他们提供了一系列开源的Jav … 继续阅读 →. 将中文分词入门之字标注法这个系列整理成了一个PDF文档放到微盘中了，感兴趣的 … 继续阅读 →. 上一节主要介绍的是利用最大熵工具包来做字标注中文分词，这一节我们直奔主题，借用条 … 继续阅读 →. Hellip; 继续阅读 →. 非主流自然语言处理遗忘算法系列四改进TF-IDF权重公式.

52nlp.cn

自然语言处理 | 我爱自然语言处理

http://www.52nlp.cn/category/nlp

I Love Natural Language Processing. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 应用场景智能问答机器人火得不行，开始研究深度学习在NLP领域的应用已经有一段时 … 继续阅读 →. 1 背景如今，搜索引擎是人们的获取信息最重要的方式之一，在搜索页面小小的输入框 … 继续阅读 →. 非主流自然语言处理遗忘算法系列四改进TF-IDF权重公式. Hellip; 继续阅读 →. 非主流自然语言处理遗忘算法系列三分词. 一、前言前面介绍了词库的自动生成的方法，本文介绍如何利用前文所生成的词库进 … 继续阅读 →. 非主流自然语言处理遗忘算法系列二大规模语料词库生成. 一、前言本文介绍利用牛顿冷却模拟遗忘降噪，从大规模文本中无监督生成词库的方 … 继续阅读 →. 非主流自然语言处理遗忘算法系列一算法概述. 一、前言这里遗忘不是笔误，这个系列要讲的遗忘算法，是以牛顿冷却公式 … 继续阅读 →. 非主流自然语言处理遗忘算法系列四改进TF-IDF权重公式.

52nlp.cn

文本处理演示系统 | 我爱自然语言处理

http://www.52nlp.cn/category/wen-ben-chu-li-yan-shi-xi-tong

I Love Natural Language Processing. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0. 非主流自然语言处理遗忘算法系列四改进TF-IDF权重公式. 非主流自然语言处理遗忘算法系列三分词. 非主流自然语言处理遗忘算法系列二大规模语料词库生成. 非主流自然语言处理遗忘算法系列一算法概述. 上, 采用创作共用版权协议, 要求署名、非商业用途和保持一致. 转载本站内容必须也遵循署名-非商业用途-保持一致的创作共用协议.

52nlp.cn

Perl中文分词 | 我爱自然语言处理

http://www.52nlp.cn/tag/perl中文分词

I Love Natural Language Processing. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. MeCab是一套日文分词形态分析和词性标注系统 Yet Another Pa … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0. 非主流自然语言处理遗忘算法系列四改进TF-IDF权重公式. 非主流自然语言处理遗忘算法系列三分词. 非主流自然语言处理遗忘算法系列二大规模语料词库生成. 非主流自然语言处理遗忘算法系列一算法概述.

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Text, Sunet şi Imagine

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Text, sunet și imagine | Back-up plan – teste

Text, sunet și imagine. Back-up plan – teste. Un subiect la cerere. O modalitate rapidă de a izola o culoare sau un obiect colorat, păstrând un fundal alb-negru (sau altfel modificat, de ce nu). Procedeul este foarte simplu, voi începe prin izolarea unei culori (sau a mai multor culori după preferințe). Programul folosit va fi Photoshop CS5 (nu uitați că acesta poate rula trial într-un mediu virtual). Imaginea folosită va fi următoarea:. Apoi deschid Color range. Pentru a vedea mai bine efectul, dacă nu ...

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