api.datumbox.com
Datumbox offers a Machine Learning platform composed of 14 classifiers and Natural Language processing functions. Functions include sentiment analysis, topic classification, readability assessment, language detection, and much more.
- Homepage
- https://api.apis.guru/v2/specs/datumbox.com/1.0.json
- Provider
- datumbox.com
- OpenAPI version
- 3.0.0
- Spec (JSON)
- https://api.apis.guru/v2/specs/datumbox.com/1.0/openapi.json
- Spec (YAML)
- https://api.apis.guru/v2/specs/datumbox.com/1.0/openapi.yaml
Tools (16)
Extracted live via the executor SDK.
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documentClassification.adultContentDetectionThe Adult Content Detection function classifies the documents as adult or noadult based on their context. It can be used to detect whether a document contains content unsuitable for minors.
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documentClassification.commercialDetectionThe Commercial Detection function labels the documents as commercial or non-commercial based on their keywords and expressions. It can be used to detect whether a website is commercial or not.
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documentClassification.educationalDetectionThe Educational Detection function classifies the documents as educational or non-educational based on their context. It can be used to detect whether a website is educational or not.
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documentClassification.genderDetectionThe Gender Detection function identifies if a particular document is written-by or targets-to a man or a woman based on the context, the words and the idioms found in the text.
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documentClassification.languageDetectionThe Language Detection function identifies the natural language of the given document based on its words and context. This classifier is able to detect 96 different languages.
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documentClassification.readabilityAssessmentThe Readability Assessment function determines the degree of readability of a document based on its terms and idioms. The texts are classified as basic, intermediate and advanced depending their difficulty.
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documentClassification.sentimentAnalysisThe Sentiment Analysis function classifies documents as positive, negative or neutral (lack of sentiment) depending on whether they express a positive, negative or neutral opinion.
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documentClassification.spamDetectionThe Spam Detection function labels documents as spam or nospam by taking into account their context. It can be used to filter out spam emails and comments.
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documentClassification.subjectivityAnalysisThe Subjectivity Analysis function categorizes documents as subjective or objective based on their writing style. Texts that express personal opinions are labeled as subjective and the others as objective.
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documentClassification.topicClassificationThe Topic Classification function assigns documents in 12 thematic categories based on their keywords, idioms and jargon. It can be used to identify the topic of the texts.
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documentClassification.twitterSentimentAnalysisThe Twitter Sentiment Analysis function allows you to perform Sentiment Analysis on Twitter. It classifies the tweets as positive, negative or neutral depending on their context.
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informationRetrieval.keywordExtractionThe Keyword Extraction function enables you to extract from an arbitrary document all the keywords and word-combinations along with their occurrences in the text.
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informationRetrieval.textExtractionThe Text Extraction function enables you to extract the important information from a given webpage. Extracting the clear text of the documents is an important step before any other analysis.
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metrics.documentSimilarityThe Document Similarity function estimates the degree of similarity between two documents. It can be used to detect duplicate webpages or detect plagiarism.
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openapi.previewSpecPreview an OpenAPI document before adding it as a source
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openapi.addSourceAdd an OpenAPI source and register its operations as tools