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      <title>Multi-level Sentiment Analysis on Text</title>
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      <description>&lt;p&gt;This talk aims to introduce the advanced studies on multiple level sentiment analysis on text. The typical levels include the document-level (i.e., &lt;a href=&#34;https://www.wangyequan.com/publication/www2018-rnn-capsule/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;&lt;em&gt;RNN-Capsule&lt;/em&gt;&lt;/a&gt;) and aspect-level (i.e., &lt;a href=&#34;https://www.wangyequan.com/publication/emnlp2016-atae-lstm/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;&lt;em&gt;ATAE-LSTM&lt;/em&gt;&lt;/a&gt; and &lt;a href=&#34;https://www.wangyequan.com/publication/www2019-as-capsules/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;&lt;em&gt;AS-Capsules&lt;/em&gt;&lt;/a&gt;).&lt;/p&gt;
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      <title>Attention-based LSTM for Aspect-level Sentiment Classification</title>
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      <description>&lt;h3 id=&#34;highlight&#34;&gt;&lt;strong&gt;Highlight&lt;/strong&gt;&lt;/h3&gt;
&lt;p&gt;Cited by &lt;strong&gt;2,000+&lt;/strong&gt; until Mar. 2023.&lt;/p&gt;
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