Detect Semantic Similarities Between Sentences Documents
Use BytesView to compile and analyze large volumes of textual data in multiple languages.
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Use BytesView to compile and analyze large volumes of textual data in multiple languages.
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Semantic similarity is the process of analyzing multiple sentence structures to identify similarities between them.
It analyzes how close words are in two sentences along with the likeliness of two sentence structures having similar meaning.One of the widely used applications of semantic similarities are content recommender systems.
Bytesview's advanced semantic similarity solution can analyze large volumes of text data to detect similar sentence structures.
Compare various documents to examine how similar their words are with semantic analysis. Extract documents or content with similar meaning and text structures.
Detect duplicate documents with ease, reduce labor, and increase efficiency. With our semantic analysis you can detect plagiarism even when the sentences/words are moved and modified.
Easily identify similar company or product names with Semantic analysis. Analyze competitive product features to examine similarities between products and services offered in the industry
Use semantic similarity to develop biomedical ontologies namely gene ontology. Compare genes used in other bio-entries and examine documents related to your research.
Given below are the steps to access the BytesView Semantic Similarity API. You can either gather the data by yourself in an excel/CSV format or ask us to do so.
Let BytesView platform helps you solve all your text analysis needs