An example how to create your own NER dataset for any purposes from the ground up: from raw text collection to data annotation. nlp bigquery data-science data machine-learning social-media reddit annotation spacy dataset named-entity-recognition social-network-analysis ner nlp-machine-learning data...
Annotation Lab Free End-to-End No-Code platform for text annotation and DL model training/tuning. Out-of-the-box support for Named Entity Recognition, Classification, Relation extraction and Assertion Status Spark NLP models. Unlimited support for users, teams, projects, documents. nlp-toolkit for...
Social influence pervades our everyday lives and lays the foundation for complex social phenomena, such as the spread of misinformation and the polarization of communities. A disconnect appears between psychology approaches, generally performed and teste
Note that we include “unkown” as an option in manual annotation to absorb text without clear location specifications. To visualize the distribution of annotated locations in datasets, we plot the pie charts in Figure 4. From the visualizations, one can see that both the Gold and SimPrompt ...
Annotation may also rely on external knowledge bases such as Wikipedia,Footnote 8 as is the case with RtGender. In situations where text written by individuals is available, rule-based approaches exploiting gendered nouns (“woman”) or pronouns (“she”) are also applicable (Bias in Bios, ...
The Reddit COVID dataset - This dataset attempts to capture the full extent of COVID-19 [...] [Meta] Twitch Top Streamer's Data [Meta] Twitter Data for Online Reputation Management [Meta] Twitter Data for Sentiment Analysis [Meta] Twitter Graph of entire Twitter site [Meta] Twitter Scrape...
The Reddit COVID dataset - This dataset attempts to capture the full extent of COVID-19 [...] [Meta] Twitch Top Streamer's Data [Meta] Twitter Data for Online Reputation Management [Meta] Twitter Data for Sentiment Analysis [Meta] Twitter Graph of entire Twitter site [Meta] Twitter Scrape...
An emotional outcome can best be predicted based on an individual’s assessment of the preceding object, event, or situation [19]. As a result, it is necessary to contextualize emotional responses, as the same situation might produce distinct affective responses, and inherent factors can produce ...
9445 values, deleted duplicate and nonsensical data to obtain 1889 values, and converted the data to JSON format; (3) Annotated the questions of health community Q&A text into eight categories (check, disease, drug, mood, life, social, symptom, and treat) using the Doccano annotation tool....
A complete CleanUpRNAseq analysis requires four types of input data: (i) a genome annotation file in the GTF format from the Ensembl Genome Browser; (ii) a reference genome sequence file in the FASTA format, also from the Ensembl Genome Browser, or a BSgenome object for the reference of ...