Text mining: identification of similarity of text documents using hybrid similarity modeldoi:10.1007/s42044-022-00127-4Natural language processingContextual analysisSemantic analysisDeep learning techniquesThe volume of data that are accessible on the internet has increased dramatically. This growth of data...
nlpapilinguistictext-miningcorpus-linguisticscorpusexplorer UpdatedNov 11, 2024 C# Data and code associated with the manuscript "A Pipeline for the Automatic Identification of Randomized Controlled Oncology Trials and Assignment of Tumor Entities Using Natural Language Processing". ...
text-mining text political-science data-cleaning text-cleaner text-cleaning Updated Jan 11, 2024 Python krisograbek / text-preprocessing Star 5 Code Issues Pull requests Text preprocessing in Python. Libs include string, re, nltk, spacy, gensim, textblob, unidecode, autocorrect, pyspellchecker ...
Sustainability issues can pose a risk for corporate success and, within companies, risk management departments are responsible for the identification and assessment of potential sustainability risks, which is not trivial a task. This thesis focuses on solving the problem of the identification of ...
Keyword annotation The aim of the keyword annotation is to highlight such keywords (words or phrases) in abstracts which indicate relevant evidence for hazard identification and MOA assessment of chemicals. The experts found keyword annotation easy to understand since they typically look for words and...
The extracted data was evaluated for the occurrence of six words before and after the keyword "recommend" in the same sentence. In a sentence like "Best hotel ever highly recommended for family vacations," the phrase "Best hotel ever highly" is the causal factor. If a similar relationship ex...
Increasingly biological text mining research is focusing on the extraction of complex relationships relevant to the construction and curation of biological networks and pathways. However, one important category of pathway — metabolic pathways — has bee
Mapping local knowledge using the spatial text-mining is able to identify multi-functional bases which provide various ecosystem services in the same location simultaneously. Identification of multi-functional bases can provide information for local government to design an effective and comprehensive ...
KeywordExtractor: script for extracting keywords from RDF data TaggingFixer: script for fixing issues in tagged data MiMoTextBase: One goal of the project is the creation of a knowledge base on French novels of the second half of the 18th century, which is called MiMoTextBase. The following ...
USIndividualTaxpayerIdentification USSocialSecurityNumber UAPassportNumberDomestic UAPassportNumberInternational 組織 電子郵件 URL 年齡 PhoneNumber IPAddress 日期 人員 位址 全部 預設值 PiiEntityDomain 定義PiiEntityDomain 的值。 KnownPiiEntityDomain 可與 PiiEntityDomain 交換使用,此列舉包含...