#textanalysis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #textanalysis, aggregated by home.social.
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Poking around with sentiment analysis on the public domain copy of Pride and Prejudice by Jane Austen.
I extracted the speech, did a strict attribution, and ran sentiment analysis for different speakers based off chunks sampled from the text.
Elizabeth is neutral with a 28% confidence level, Jane is joyful at a 57% confidence. Darcy is sad with 94% confidence and Mrs Bennet is joyful at 95% confidence.
Those aren't the emotions I get from reading the text. Again, I'm learning more about the sentiment analysis than the text.
https://www.kaggle.com/code/alisonhawke/pride-and-prejudice#DataScience #Python #Literature #TextAnalysis #SentimentAnalysis
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Spent some time doing data analysis on the Project Gutenberg text of Pride and Prejudice.
Pulling out all the speech, the library I used said it was "emotionally neutral" in sentiment. Which is interesting because when you read it, the speech is absolutely not that. There's a lot in the subtleties of the speech that makes it very pointed.
The confidence on the emotional rating was 57%, which seems low to me. Doing analysis on a book I'm familiar with and recently read is telling me as much about the means of evaluating the text as the text itself.
#DataScience #TextAnalysis #SentimentAnalysis -
Why do politicians always talk about "middle class," "immigrants," or "families"?
New research funded by @fwf and @dfg_public led by Dr. Lena Maria Huber (https://lenamariahuber.eu/, MZES, University of Mannheim) and Dr. Hauke Licht (University of Innsbruck), explores how politicians talk about social groups in campaign platforms and parliamentary speeches across 8 Western European countries.
🔗https://haukelicht.github.io/projects/gaepd/
#PoliticalCommunication #ComputationalSocialScience #Democracy #TextAnalysis
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Why do politicians always talk about "middle class," "immigrants," or "families"?
New research funded by @fwf and @dfg_public led by Dr. Lena Maria Huber (https://lenamariahuber.eu/, MZES, University of Mannheim) and Dr. Hauke Licht (University of Innsbruck), explores how politicians talk about social groups in campaign platforms and parliamentary speeches across 8 Western European countries.
🔗https://haukelicht.github.io/projects/gaepd/
#PoliticalCommunication #ComputationalSocialScience #Democracy #TextAnalysis
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Why do politicians always talk about "middle class," "immigrants," or "families"?
New research funded by @fwf and @dfg_public led by Dr. Lena Maria Huber (https://lenamariahuber.eu/, MZES, University of Mannheim) and Dr. Hauke Licht (University of Innsbruck), explores how politicians talk about social groups in campaign platforms and parliamentary speeches across 8 Western European countries.
🔗https://haukelicht.github.io/projects/gaepd/
#PoliticalCommunication #ComputationalSocialScience #Democracy #TextAnalysis
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Why do politicians always talk about "middle class," "immigrants," or "families"?
New research funded by @fwf and @dfg_public led by Dr. Lena Maria Huber (https://lenamariahuber.eu/, MZES, University of Mannheim) and Dr. Hauke Licht (University of Innsbruck), explores how politicians talk about social groups in campaign platforms and parliamentary speeches across 8 Western European countries.
🔗https://haukelicht.github.io/projects/gaepd/
#PoliticalCommunication #ComputationalSocialScience #Democracy #TextAnalysis
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Why do politicians always talk about "middle class," "immigrants," or "families"?
New research funded by @fwf and @dfg_public led by Dr. Lena Maria Huber (https://lenamariahuber.eu/, MZES, University of Mannheim) and Dr. Hauke Licht (University of Innsbruck), explores how politicians talk about social groups in campaign platforms and parliamentary speeches across 8 Western European countries.
🔗https://haukelicht.github.io/projects/gaepd/
#PoliticalCommunication #ComputationalSocialScience #Democracy #TextAnalysis
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Fast Concordance: Instant concordance on a corpus of >1,200 books
https://iafisher.com/concordance/
#HackerNews #FastConcordance #InstantConcordance #Books #Corpus #TextAnalysis #LiteratureTech
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New article in #JCLS 4(1)! 🎉
@dudarjulia & @christof introduce a method for evaluating measures of #distinctiveness ( #keyness ) using synthetically generated, fully controlled text data.
#CLS #TextAnalysis #Evaluation #NLP #NLG #LiteraryComputing #CCLS25
https://jcls.io/issue/118/info/ -
🇪🇺 Want to analyze text from the EU public consultations? EU public consultations are a way in which the EU invites the broader public to publicly comment on upcoming legislation.
📦 :python: I just published a first version of a Python package {eu-consultations} to scrape and extract text from the EU website:
https://github.com/marioangst/eu_consultations- download consultation data as displayed on the EU's frontend into a validated form
- download associated files (this is the hard part about analysing this data - lots of feedback is in .docx and .pdf files)
- extract text from the files using docling and attach to feedbackYou get all data in validated form and possibly stored in huge (sorry for that) JSON files ;).
This package is part of an analysis project on feedback the EU has received via the public consultation process on digital policy we plan to present later this year, but I thought let's make some of the tools we use open source way earlier already.
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How would you go about creating a filter that blocks posts about things that people hate?
I've thought I could build a text classifier, but it could be hard to train since I'd need to guess whether or not the author hates the thing they are posting about.
I wouldn't want it to become a filter for all current events news, but I suspect that's what it would become.
#fediverse #mastodon #machineLearning #tfidf #classification #socialMedia #classifier #textAnalysis #programming #tech #technology
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JOB: Wissenschaftliche/r Mitarbeiter/in (m/w/d) Digital Humanities
An der Philosophischen Fakultät der RWTH Aachen University (100% Beschäftigung, Tarifstufe TV-L13) im Bereich Digital Humanities. Die Stelle ist zunächst auf drei Jahre befristet.#DigitalHumanities #TextAnalysis #QuantitativeMethods #LiteraryCorpora
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JOB: Wissenschaftliche/r Mitarbeiter/in (m/w/d) Digital Humanities
An der Philosophischen Fakultät der RWTH Aachen University (100% Beschäftigung, Tarifstufe TV-L13) im Bereich Digital Humanities. Die Stelle ist zunächst auf drei Jahre befristet.#DigitalHumanities #TextAnalysis #QuantitativeMethods #LiteraryCorpora
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JOB: Wissenschaftliche/r Mitarbeiter/in (m/w/d) Digital Humanities
An der Philosophischen Fakultät der RWTH Aachen University (100% Beschäftigung, Tarifstufe TV-L13) im Bereich Digital Humanities. Die Stelle ist zunächst auf drei Jahre befristet.#DigitalHumanities #TextAnalysis #QuantitativeMethods #LiteraryCorpora
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JOB: Wissenschaftliche/r Mitarbeiter/in (m/w/d) Digital Humanities
An der Philosophischen Fakultät der RWTH Aachen University (100% Beschäftigung, Tarifstufe TV-L13) im Bereich Digital Humanities. Die Stelle ist zunächst auf drei Jahre befristet.#DigitalHumanities #TextAnalysis #QuantitativeMethods #LiteraryCorpora
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JOB: Wissenschaftliche/r Mitarbeiter/in (m/w/d) Digital Humanities
An der Philosophischen Fakultät der RWTH Aachen University (100% Beschäftigung, Tarifstufe TV-L13) im Bereich Digital Humanities. Die Stelle ist zunächst auf drei Jahre befristet.#DigitalHumanities #TextAnalysis #QuantitativeMethods #LiteraryCorpora
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5 Natural language processing libraries to use - Natural language processing libraries, including NLTK, spaCy, Sta... - https://cointelegraph.com/news/5-natural-language-processing-libraries-to-use #naturallanguageprocessing #languageunderstanding #textgeneration #nlplibraries #textanalysis
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When artworks are restituted, their provenances contain valuable information for researchers, historians and families.
Part of the series: #Restitutions as #Data. The Names In-between
https://www.openartdata.org/2023/02/tracking-looted-art-2-sothebys-sales-of.html
#GLAM #digitialhumanities #textanalysis #art #Holocaust #artlaw #Histodon #museum #provenance #arthistory #WWII #history #translocations #training -
Automated scoring of reflective thinking in accounting students' writing "positively related to data analytics assignment grades [but] #emotionalIntelligence (EI) was not found to moderate th[is] relationship" (N = 86).
Images of pages from the thesis are attached: https://udallas-ir.tdl.org/handle/20.500.14026/2064
#CriticalThinking #Emotion #EmotionalIntelligence #EQ #NaturalLanguageProcessing #NLP #TextAnalysis #DevelopmentalPsychology #DevPsych #Teaching #Education #DataAnalysis