Temporal patterns of happiness and information in a global social network: Hedonometrics and Twitter · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1101.5120/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTTemporal patterns of happiness and information in a global social network: Hedonometrics and Twitter — mentioned by chimehttps://news.ycombinator.com/item?id=5242993urn:hackerpapers:mention:1101.5120:5242993Tue, 19 Feb 2013 06:38:24 GMT<p>The best part about this is how they calculated happiness from each tweet: http://arxiv.org/pdf/1101.5120.pdf &gt; we avoid stemming words, i.e., conflating inflected words with their root form, such as all conjugations of a speci c verb. For verbs in particular, by focusing on the most fre- quent words, we obtained scores for those conjuga- tions likely to appear in texts, obviating any need for stemming. Moreover, while we observe stemming works well in some cases for happiness measures, e.g., havg(advance)=6.58, havg(advanced)=6.58, and havg(advances)=6.24, it fails badly in others, e.g.…</p><p><a href="https://hackerpaper.kaipfister.de/p/1101.5120/">Paper and discussion history</a>. A mention is not an endorsement.</p>physics.soc-ph