Posts with #TextData
#TextData
Public posts on X that use #TextData.
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OPTED_H2020@OPTED_H2020We are excited to share our new publication on Meteor ( our inventory of news sources in Europe! Paul Balluff,@FabienneLind,@boomgaardenhg and @annie_waldherr describe the inclusion criteria and #journalism research for the site.21336
OPTED_H2020@OPTED_H2020@OPTED_H2020Meteor is freely accessible to anyone. After starting in 2021, we already have 1500 news sources in 17 countries, and 300 organisations of ownership structures. We are also starting to add more on data availability and archives, to help researchers find #textdata more easily.114
Lisa Lechner@__lisalechner__Dear Twitterverse, what are the best online newspaper archives? Aim is to a) have a broad coverage (country- and timewise), b) download in large batches, and c) work with the data quantitavely. #NLP #QTA #textdata81586
📍 TextData simplifies exploratory data analysis of text data and saves a significant amount of coding time: #DataAnalysis #TextData1416
Alex J Bowers@Alex_J_BowersGreat talk on Project Feels @nytimes by @AlexanderSpangh at #ODSC labeling #textdata with #crowdsourcing for emotions. #Datascience045
1/8 🔵 The AI revolution triggers a great scramble for data. Today, we delve into how the creative industry is unfolding through the eyes of AI tools. #AI #DataScramble2227814
@digitalkensei5/8 🔵 Huge datasets and processing power are the bread and butter of AI models. But with a AI chip shortage, the quest for data intensifies. #AIChips #ProcessingPower10222

abhay kumaR 👨🏽💻📊@aksingh1985I decided to convert our paper on #textdata and #twitter into a poster using #rstats package #posterdown @hdcripps @mejtoft @rforresearch. Have a read of the full paper which is #openaccess as this infographics only shows #textmining results. Thx @wbrentthorne for the package!2520
#Tokenization is a concept you must know if you want to work with #TextData. Here, Aravind Pai discusses the various nuances of tokenization, including how to handle Out-of-Vocabulary words (OOV)! #NLP034


Wordnerds@word_nerdyWhat do you do with a ton of text data? From humans to word clouds or doing bot all - we break down the most popular approaches to pulling insights & lift the lid on why some methods are more popular than they should be. #textanalysis #textdata001
Checkout this article to understand the significance of harnessing online product reviews with the help of #TopicModeling. Prateek Joshi, in this article demonstrates the application of LDA on a raw, crowd-generated #textdata.004
Jonathan Benchimol@Benchimolium🚨 Public Good Alert 🚨 Two years of development. Zero funding. 𝟲,𝟲𝟵𝟯 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝘀𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁𝘀 𝗳𝗿𝗼𝗺 𝟱𝟭 𝗰𝗲𝗻𝘁𝗿𝗮𝗹 𝗯𝗮𝗻𝗸𝘀. #TextData Today, we are opening the doors to it all for free 🚀 Visit our website: 🧵1/12 #NLP410338533.2K
Jonathan Benchimol@BenchimoliumJonathan Benchimol @Benchimolium💡 𝘞𝘢𝘯𝘵 𝘵𝘰 𝘦𝘹𝘱𝘭𝘰𝘳𝘦 𝘵𝘦𝘹𝘵 𝘥𝘢𝘵𝘢 𝘺𝘰𝘶𝘳𝘴𝘦𝘭𝘧? All 𝘁𝗲𝘅𝘁 𝗱𝗮𝘁𝗮 from the Fed, @ECB, and Bank of Israel (including #announcements, #minutes, and #speeches) is available at: 10/10006435
Jonathan Benchimol@Benchimolium@Benchimolium💡 𝘞𝘢𝘯𝘵 𝘵𝘰 𝘦𝘹𝘱𝘭𝘰𝘳𝘦 𝘵𝘦𝘹𝘵 𝘥𝘢𝘵𝘢 𝘺𝘰𝘶𝘳𝘴𝘦𝘭𝘧? All 𝘁𝗲𝘅𝘁 𝗱𝗮𝘁𝗮 from the Fed, @ECB, and Bank of Israel (including #announcements, #minutes, and #speeches) is available at: 10/10107700
Jonathan Benchimol@Benchimolium@BenchimoliumThis project is a testament to the power of pure academic dedication. We were driven by the shared belief that researchers and #policymakers need better, transparent infrastructure to understand monetary policy communication, transmission and global financial spillovers. 🧵8/12108642
Jonathan Benchimol@Benchimolium@BenchimoliumWe recently had the honor of presenting this framework at the @BIS_org-IFC @bancaditalia Workshop on "Data science in central banking" in Rome, and it confirmed exactly what we knew: our field urgently needs standardized, open resources. 🧵9/12 #TextData #Data #DeepLearning108652- Show more posts















