Compile and analyze large volumes of textual data from multiple information sources with our semantic analysis. Detect semantic similarities between sentences or documents in multiple languages.Schedule a Demo
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.
BytesViews'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.
The semantic analysis will compile and analyze large quantities of text data. The text with the same words and meaning will be categorized and listed. Upload data directly on the platform or use the dedicated plugins to automate the semantic analysis process. Analyze, identify, and extract similar textual data from a variety of information sources.
Given below are the steps to access the BytesView semantic similarity API. Compile text data into Excel/CSV file and upload it directly on our platform, or let BytesView do it for you.
Detect duplicate documents with ease, reduce labor, and increase efficiency. With our Semantic analysis 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.