Concluding Thought:
When sentiment and technicals argue let the crowd’s mood be the tiebreaker and watch the swing unfold. #TradingEducation #TradingTips #LearnTrading #SentimentAnalysis #BondTrading

#SwingTrading #ForexStrategy #OptionsPlay #RiskControl #PriceAction #ChartPatterns #TraderTalk #InvestingClub #ConsistentWins #NeverGiveUp (5/5)

Morgen im #DigitalHumanities Kolloquium zu aktuellen Forschungsthemen 2026:

Patrick Brookshire, #AdWMainz & @unimainz: „Tracing Live Events: Muster in historischen Biographien“

📍 Donnerstag, 07.05.2026, 17:45–19:15 Uhr, HS XVIII, Hauptgebäude @UniKoeln

Alle Interessierten sind herzlich willkommen! Es ist keine Anmeldung nötig.

@IDH_Cologne @prometheus_bildarchiv

#ComputationalLinguistics #SentimentAnalysis

🤔🚀 Ah, the cutting-edge world of AI coding models, where self-appointed Hacker News experts (read: keyboard warriors) enlighten us with their divine insights. This daily exercise in futility scours the deepest recesses of the internet to bring you the most potentially irrelevant #opinions, because who needs facts when you have sentiment analysis? 🧙‍♂️💫
https://hnup.date/hn-sota #AIcodingmodels #keyboardwarriors #sentimentanalysis #HackerNews #technology #HackerNews #ngated
HN SOTA — Model popularity | HN Update

LLM model popularity from Hacker News: how we detect models from the OpenRouter catalog and score sentiment from discussions.

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

Pride and Prejudice

Explore and run AI code with Kaggle Notebooks | Using data from multiple data sources

Social Listening, Brand Monitoring & Analytics, One API Handles All of It

Not all social media APIs are built the same. Some track conversations, some measure performance, and some flag brand mentions the moment they go live. Understanding which type fits your goal can completely change how you use social data — and how fast you act on it.
https://www.tagxdata.com/what-is-a-social-media-api-and-how-does-it-work
#SocialMediaStrategy
#SentimentAnalysis
#DataDrivenGrowth
#BusinessIntelligence

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

AI For The Skeptics: Attempting To Do Something Useful With It

There are some subjects as a writer in which you know they need to be written, but at the same time you feel it necessary to steel yourself for the inevitable barrage of criticism once your work re…

Hackaday

Initial questions about this #retraction risk calculator:

What about negative phrases in social media posts that are NOT actually about the linked article?

What about negative posts about a paper that don’t actually link to the paper? (Screenshots, “link in comment” posts, etc.)

#NLP #sentimentAnalysis #webScraping #bibliometrics #Altmetric #stats