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datasets available to search
ShareScore release 0.9.0
Dataset results
11 results for “emoji”
Jodel Emoji Embedding Dataset (JEED1488)
<p>Jodel Emoji Embedding Dataset (JEED1488).</p> <p>Please refer to the README for more information.</p>
Italian Tweet Embeddings Used For Emoji Prediction
<p>This dataset contains 100d word embeddings trained on 48M Italian tweets using fastText and employed by our team to predict emojis during ITAmoji competition of EVALITA 2018 Evaluation Campaign.</p>
Persian emoji matching dataset
<p>This is a data set used for Creating NFT-Backed Emoji Art from User Conversations on the Blockchain paper. </p>
Tomographic X-ray data of 3D emoji
<p>This is the documentation of the tomographic X-ray data of emoji<br> phantom made available at http://www.fips.fi/dataset.php. The data can be freely used for scienti c purposes with appropriate references to the data and to this document in http://arxiv.org/. The data set consists of (1) the X-ray sinogram of a single 2D slice of 33 emoji faces (contains 15 different emoji faces) made by small squared ceramic stones and (2) the corresponding static and dynamic measurement matrices modeling the linear operation of the X-ray transform. Each of these sinograms was obtained from a measured 60-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution. The original (measured) sinogram is also provided in its original form and resolution.</p>
Emoji Sentiment Lexicons
<p>These are the emoji sentiment lexica derived from valence scores from cooccurrence with sentiment-carrying messages. One lexicon is based on a Twitter corpus and contains Unicode emojis, the other is based on a collection of Twitch chat logs and mainly contains valence values for Twitch emotes.</p>
The data of Emoji Use, Empathy, Attribution of Responsibility, and Forgiveness in Apologies
<p>This is the data for paper: Can Emoji Promote Forgiveness? The Relationship between Emoji Use, Empathy, Attribution of Responsibility, and Forgiveness in Apologies. A total of 323 participants were recruited in that study, and a recall method (Study 1) and scenario simulation method (Study 2) were used to explore the effect of emoji use during apologies on forgiveness, and the mediating role of empathy and attribution of responsibility. The results showed that (a) people chose emoji that resembled real remorseful facial expressions when apologizing; (b) using emoji that expressed remorse when apologizing could promote forgiveness; and (c) empathy mediated the process of emoji promoting forgiveness, while attribution of responsibility did not play a mediating role.</p>
Emoji Reaction Original Datasets
<p>The original datasets of Emoji Reaction study, including 1,850 repositories across seven popular languages .</p>
Significados sexuales de los emojis.
<p><strong>Infografía sobre el doble sentido sexual que se le han adjudicado por uso y costumbre a los distintos emojis. </strong></p> <p>Estos significados alternativos han sido asignados en base al uso habitual que se realizaba por las mayoría de las personas entorno al año 2018. Principalmente por la población española, según a costumbres y hábitos sociales de la sociedad. Añadir que se incorporaron algunos que siendo menos populares en ese momento, estaban empezando a ser implementados en la cultura española por extranjerismo.</p> <p>El lenguaje, incluido el uso de emojis, es algo que está vivo. Cambia, evoluciona y se adaptada a las tendencias y modas que surjen en cada zona. Internet ayuda con la globalización de ciertos aspectos, pero aun así, existen particularidades geográficas. <br><br>Este documento fue publicado y se elaboró en 2018 por el blog de divulgación de la sexualidad humana, Las experiencias de Toulouse. (<a href="http://experienciastoulouse.com" target="_blank" rel="noopener">http://experienciastoulouse.com</a>)</p>
Emoji-based Attention Bias Modification Training for Depressive Young Adults
ClinicalTrials.gov study NCT05415306. IPD Sharing: NO. Countries: 0. Publications: 46.
Emoji Gestures in English Tweets: California
<p>The dataset consists of 479 193 tweets each of them contains one of the 31 gesture emoji (different hand configurations) and its skin tone modifier options (e.g. 🙏🙏🏿🙏🏾🙏🏽🙏🏼🙏🏻), posted within 250km from San Jose, CA and within 200km from Los Angeles, CA, in English, during May-August 2021. The dataset can be used to investigate the use of gesture emoji by English-speaking California Twitter users. Python libraries used for collecting tweets and preprocessing: tweepy, re, preprocessor, emoji, regex, string, nltk.</p> <p>The dataset contains 11 columns:</p> <ol> <li> <p>preprocessed</p> <p>preprocessed text of the tweet (4 steps)</p> </li> <li> <p>all_emoji</p> <p>lists all emoji in a given tweet</p> </li> <li> <p>hashtags</p> <p>lists all hashtags in a given tweet</p> </li> <li> <p>user_encoded</p> <p>encoded Twitter user name: the first 3 characters of the user name and the first 3 characters of the user's location</p> </li> <li> <p>location_encoded</p> <p>location of the user: "los_angeles", "san_diego", "san_jose", "san_francisco", "fresno", "long_beach", "sacramento", "oakland", "bakersfield", "anaheim", or "other"</p> </li> <li> <p>mention_present</p> <p>checks whether each tweet contains mentions</p> </li> <li> <p>url_present</p> <p>checks whether each tweet contains url </p> </li> <li> <p>preprocess_tweet</p> <p>preprocessing step 1: tokenizing mentions, urls, and hashtags</p> </li> <li> <p>lowercase_tweet</p> <p>preprocessing step 2: lowercasing</p> </li> <li> <p>remove_punct_tweet</p> <p>preprocessing step 3: removing punctuation</p> </li> <li> <p>tokenize_tweet</p> <p>preprocessing step 4: tokenizing</p> </li> </ol> <p>The further information on the research project can be found here: https://github.com/mzhukovaucsb/emoji_gestures/</p>
Emoji Gestures in Russian Tweets: Moscow
<p>The dataset consists of 48 838 tweets each of them contains one of the 31 gesture emoji (different hand configurations) and its skin tone modifier options (e.g. 🙏🙏🏿🙏🏾🙏🏽🙏🏼🙏🏻), and posted within 50km from Moscow, Russia, in Russian, during May-August 2021. The dataset can be used to investigate the use of gesture emoji by Russian users of the Twitter platform. Python libraries used for collecting tweets and preprocessing: tweepy, re, preprocessor, emoji, regex, string, nltk. </p> <p>The dataset contains 11 columns:</p> <ol> <li> <p>preprocessed</p> <p>preprocessed text of the tweet (4 steps)</p> </li> <li> <p>all_emoji</p> <p>lists all emoji in a given tweet</p> </li> <li> <p>hashtags</p> <p>lists all hashtags in a given tweet</p> </li> <li> <p>user_encoded</p> <p>encoded Twitter user name: the first 3 characters of the user name and the first 3 characters of the user's location</p> </li> <li> <p>location_encoded</p> <p>location of the user: "moscow", "moscow_region", or "other"</p> </li> <li> <p>mention_present</p> <p>checks whether each tweet contains mentions</p> </li> <li> <p>url_present</p> <p>checks whether each tweet contains url</p> </li> <li> <p>preprocess_tweet</p> <p>preprocessing step 1: tokenizing mentions, urls, and hashtags</p> </li> <li> <p>lowercase_tweet</p> <p>preprocessing step 2: lowercasing</p> </li> <li> <p>remove_punct_tweet</p> <p>preprocessing step 3: removing punctuation</p> </li> <li> <p>tokenize_tweet</p> <p>preprocessing step 4: tokenizing</p> </li> </ol> <p>The further information on the research project can be found here: https://github.com/mzhukovaucsb/emoji_gestures/</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.