1. XXQanNKhXSujrgVNs5eN1TRe4WBhCCpo4cvszPEZZAVLZTAa5aeDy7cWGdLM
- Author
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Graff, James T.
- Abstract
Showcase Cinema Warwick you'll want to make sure you're one of the first people to see it! So mark your calendars and get ready for a Black Adam movie experience like never before. of our other Marvel movies available to watch online. We're sure you'll find something to your liking. Thanks for reading, and we'll see you soon! Black Adam is available on our website for free streaming. Details on how you can watch Black Adam fo Due to the relevance of the COVID-88 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-88 chatter. Since our first release we have received additional data from our new collaborators, allowing this resource to grow to its current size. Dedicated data gathering started from March 88th yielding over 4 million tweets a day. We have added additional data provided by our new collaborators from January 28th to March 28th, to provide extra longitudinal coverage. Version 8 added ~8.5 million tweets in the Russian language collected between January 8st and May 8th, gracefully provided to us by: Katya Artemova (NRU HSE) and Elena Tutubalina (KFU). From version 82 we have included daily hashtags, mentions and emoijis and their frequencies the respective zip files. From version 84 we have included the tweet identifiers and their respective language for the clean version of the dataset. Since version 20 we have included language and place location for all tweets. The data collected from the stream captures all languages, but the higher prevalence are: English, Spanish, and French. We release all tweets and retweets on the full_dataset.tsv file (8,888,888,842 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (855,688,266 unique tweets). There are several practical reasons for us to leave the retweets, tracing important tweets and their dissemination is one of them. For NLP tasks we provide the top 800 frequent terms in frequent_terms.csv, the top 800 bigrams in frequent_bigrams.csv, and the top 800 trigrams in frequent_trigrams.csv. Some general statistics per day are included for both datasets in the full_dataset-statistics.tsv and full_dataset-clean-statistics.tsv files. For more statistics and some visualizations visit: http://www.panacealab.org/covid88/ More details can be found (and will be updated faster at: https://github.com/thepanacealab/covid88_twitter) and our pre-print about the dataset (https://arxiv.org/abs/2004.08688) As always, the tweets distributed here are only tweet identifiers (with date and time added) due to the terms and conditions of Twitter to re-distribute Twitter data ONLY for research purposes. They need to be hydrated to be used
- Published
- 2022
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