WATCH Detroit Pistons vs New York Knicks live free online
WATCH Detroit Pistons vs New York Knicks live free online · Zenodo (CERN European Organization for Nuclear Research) · 2022
Detroit Pistons is playing against New York Knicks on Nov 30, 2022 at 12:00:00 AM UTC. The game is played at Little Caesars Arena CLICK TO WATCH FREE MATCH CLICK TO WATCH FREE MATCH Here you can find previous Detroit Pistons vs New York Knicks results sorted by their H2H games. SofaScore also allows you to check different information regarding the match, such as: Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 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 11th yielding over 4 million tweets a day. We have added additional data provided by our new collaborators from January 27th to March 27th, to provide extra longitudinal coverage. Version 10 added ~1.5 million tweets in the Russian language collected between January 1st and May 8th, gracefully provided to us by: Katya Artemova (NRU HSE) and Elena Tutubalina (KFU). From version 12 we have included daily hashtags, mentions and emoijis and their frequencies the respective zip files. From version 14 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 (1,371,993,942 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (355,691,266 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 1000 frequent terms in frequent_terms.csv, the top 1000 bigrams in frequent_bigrams.csv, and the top 1000 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/covid19/