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<h3 id="南京大学新闻传播学院硕士课程">南京大学新闻传播学院硕士课程<a class="anchor-link" href="#南京大学新闻传播学院硕士课程">¶</a></h3><hr> | ||
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<h1 id="计算新闻传播学:大数据挖掘与分析">计算新闻传播学:大数据挖掘与分析<a class="anchor-link" href="#计算新闻传播学:大数据挖掘与分析">¶</a></h1><h2 id="课程简介">课程简介<a class="anchor-link" href="#课程简介">¶</a></h2><hr> | ||
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<h1 id="计算新闻传播学">计算新闻传播学<a class="anchor-link" href="#计算新闻传播学">¶</a></h1><h2 id="课程简介">课程简介<a class="anchor-link" href="#课程简介">¶</a></h2><hr> | ||
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<p>王成军</p> | ||
<p>[email protected]</p> | ||
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<a href="http://computational-communication.com">http://computational-communication.com</a></p> | ||
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<p><a href="http://computational-communication.com">http://computational-communication.com</a></p> | ||
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">mistune</span> | ||
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mistune</span><span class="o">.</span><span class="n">markdown</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1"> <img src="link" align="right" width=100> </span><span class="se">\n</span><span class="s1">'</span><span class="p">,</span> <span class="n">escape</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> | ||
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<blockquote><h1 id="conda-install-mistune=0.7.2">conda install mistune=0.7.2<a class="anchor-link" href="#conda-install-mistune=0.7.2">¶</a></h1> | ||
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<td>2017-05-12 周五</td> | ||
<td>2018-04-27 周五</td> | ||
<td style="text-align:center">9:00-12:00</td> | ||
<td style="text-align:center">14:00-17:00</td> | ||
<td style="text-align:center">作业&答疑</td> | ||
<td style="text-align:center">13:30-17:30</td> | ||
<td style="text-align:center">晚上有课,下午延长半个小时</td> | ||
<td style="text-align:right">6学时</td> | ||
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<tr> | ||
<td>2017-05-13 周六</td> | ||
<td>2018-04-28 周六</td> | ||
<td style="text-align:center">9:00-12:00</td> | ||
<td style="text-align:center">14:00-17:00</td> | ||
<td style="text-align:center">作业&答疑</td> | ||
<td style="text-align:center">15:30-17:30</td> | ||
<td style="text-align:center">18:30-19:30 授课 19:30-20:30 作业&答疑</td> | ||
<td style="text-align:right">6学时</td> | ||
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<tr> | ||
<td>2017-05-14 周天</td> | ||
<td>2018-04-29 周天</td> | ||
<td style="text-align:center">9:00-12:00</td> | ||
<td style="text-align:center">14:00-17:00</td> | ||
<td style="text-align:center">作业&答疑</td> | ||
<td style="text-align:right">6学时</td> | ||
</tr> | ||
<tr> | ||
<td>2017-05-19 周五</td> | ||
<td>2018-05-04 周五</td> | ||
<td style="text-align:center">9:00-12:00</td> | ||
<td style="text-align:center">14:00-17:00</td> | ||
<td style="text-align:center">作业&答疑</td> | ||
<td style="text-align:center">13:30-17:30</td> | ||
<td style="text-align:center">--</td> | ||
<td style="text-align:right">6学时</td> | ||
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<td>2017-05-20 周六</td> | ||
<td>2018-05-05 周六</td> | ||
<td style="text-align:center">9:00-12:00</td> | ||
<td style="text-align:center">14:00-17:00</td> | ||
<td style="text-align:center">作业&答疑</td> | ||
<td style="text-align:right">6学时</td> | ||
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<td>2017-05-21 周天</td> | ||
<td>2018-05-06 周天</td> | ||
<td style="text-align:center">9:00-12:00</td> | ||
<td style="text-align:center">14:00-17:00</td> | ||
<td style="text-align:center">作业&答疑</td> | ||
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<h1 id="课程资料">课程资料<a class="anchor-link" href="#课程资料">¶</a></h1><ul> | ||
<li>(包括数据、PPT、可视化、图片、代码) <a href="http://github.com/computational-class/bigdata/">http://github.com/computational-class/bigdata/</a></li> | ||
<li>(包括数据、PPT、可视化、图片、代码) <a href="http://github.com/computational-class/cjc/">http://github.com/computational-class/cjc/</a></li> | ||
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<h1 id="授课计划">授课计划<a class="anchor-link" href="#授课计划">¶</a></h1><ul> | ||
<li>一、计算新闻传播学简介</li> | ||
<li>二、数据科学的编程工具:大数据(1h)</li> | ||
<li>三、数据科学的编程工具:Python使用简介(3h)</li> | ||
<li>一、<a href="01.intro2cjc.ipynb">计算新闻传播学简介</a></li> | ||
<li>二、<a href="02.bigdata.ipynb">数据科学的编程工具:大数据(1h)</a></li> | ||
<li>三、<a href="03.python_intro.ipynb">数据科学的编程工具:Python使用简介(3h)</a></li> | ||
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<hr> | ||
<ul> | ||
<li>四、数据抓取:抓取两会报告</li> | ||
<li>四、数据抓取:抓取两会报告、<a href="04.PythonCrawler_beautifulsoup.ipynb">Beautifulsoup</a></li> | ||
<li>五、数据抓取:抓取天涯论坛帖子</li> | ||
<li>六、数据清洗:清洗推特数据</li> | ||
<li>七、数据清洗:清洗占中新闻、清洗天涯论坛帖子</li> | ||
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<h1 id="课前准备">课前准备<a class="anchor-link" href="#课前准备">¶</a></h1><ul> | ||
<li>注册github账户 <a href="http://github.com">http://github.com</a></li> | ||
<li>watch本课程repo: <a href="https://github.com/computational-class/bigdata/">https://github.com/computational-class/bigdata/</a></li> | ||
<li>watch本课程repo: <a href="https://github.com/computational-class/cjc/">https://github.com/computational-class/cjc/</a></li> | ||
<li>下载并安装github desktop客户端 (建议:非必须内容): <a href="https://desktop.github.com/">https://desktop.github.com/</a></li> | ||
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