#corpusmooc (and text analysis) linkage

Latest: Journalistic representations of Jeremy Corbyn in the British press

Updates: never forget – Sentiment analysis is opinion turned into code; see Stanford Named Entity Tagger, which has three English language classification algorithms to try, and a list of 20+ Sentiment Analysis APIs. Next up: Seven ways humanists are using computers to understand text, Semantic maps at DH2015Sensei FP7 project: making sense of human- human conversation (Gdn case study), Stanford Literary Lab uses digital humanities to study why we feel suspense. Donald Trump’s tweets analysed. Pro-Brexit articles dominated newspaper referendum coverage.

Updates: just came across culturomics via a 2011 TEDx talk – no, stay…two researchers who helped create the Google Ngram Viewer analyse the Google Books digital library for cultural patterns in language use over time. See the Culturomics site, Science paper etc. Critique: When physicists do linguistics and Bright lights, big dataEMOTIVE, sentiment analysis project at Lboro…Laurence Anthony reviews the future of corpus toolsSentiment and  semantic analysisanalysing Twitter sentiment in the urban context and againWisdom of the crowd, research project from inter alia Demos and Ipsos MORI, launches with a look at Twitter’s reaction to the autumn statementThe six main arcs in storytelling, as identified by an AI

Aha, a links post…I’ve got links on text analysis and related all over the shop – see the category and tags for text mining and sentiment analysis on this blog for starters, in particular #ivmooc 4: what? and #ivmooc 2: burst detection, plus Word clouds for text mining. Here’s a broadly corpus related haul.

Projects:

Tools:

Corpora:

There’s no shortage of cases. Here’s a selection with particular appeal, either due to subject matter or methodology:

Blogs, Twitter…The dragonfly’s gaze looks at computational approaches to literary text analysis, with a nice post listing repositories and exploring file formats.

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