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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Large language models for aspect-based sentiment analysis · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.18025/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2310.18025/feed.xml" rel="self" type="application/rss+xml" /><item><title>Large language models for aspect-based sentiment analysis — mentioned by hitradostava</title><link>https://news.ycombinator.com/item?id=41243334</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.18025:41243334</guid><pubDate>Wed, 14 Aug 2024 07:06:44 GMT</pubDate><description>&lt;p&gt;I have to agree with the parent. LLMs are excellent at a large range of NLP tasks. Of course they are not going to replace all ML models, but when it comes to NLP they are clearly better than lots of trained models (e.g. https://arxiv.org/pdf/2310.18025).&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.18025/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Large language models for aspect-based sentiment analysis — HN submission</title><link>https://news.ycombinator.com/item?id=40000544</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.18025:40000544</guid><pubDate>Thu, 11 Apr 2024 10:20:13 GMT</pubDate><description>&lt;p&gt;Large Language Models for Aspect-Based Sentiment Analysis&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.18025/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
