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Clustering-Text (9 results) showing 1 - 9
 ByMiri Infotech | Ver 6
Starting from $0.01 to $0.01/hr for software + AWS usage fees This is a repackaged open source Stack wherein additional charges lies for pre-configured Product. Highly tailored, pre-configured, customizable and one click solution at your steps It is marketing automation tool with the ability to manage and organize marketing campaigns and its features like lan... | |
 This API returns rich information for a word with definitions, associations, examples, and much more. | |
 This API detects and generates human-like topics to the given text. Topic generation and tagging may be a common task for us, but it is a huge challenge for computers, mainly because computers do not understand languages. How many applications will benefit if computers start to understand text like... | |
 ByMphasis | Ver 3.0 Document Similarity solution helps a user find pairwise similarity between documents. This will help in identifying whether two documents have similar verbatim and contextual information. Higher similarity value means documents have very similar contextual information and are written in similar... | |
 ByMphasis | Ver 3.4 Document grouping is a solution based on unsupervised machine learning that takes textual information and identifies topics across the given text corpus. Documents are grouped based on similarity of syntactic and contextual information present in them. This model takes a maximum of 30 documents... | |
 ByMphasis | Ver V1.3 This solution intelligently links & combines records from two related data sources into a single master record. The module acts as a crucial component in Master Data Management. It assigns a common ID to records belonging to the same entity/duplicates. The probabilistic linkage algorithm provides... | |
 ByMphasis | Ver 3.2 Word Associations Network depicts the most prominent topics and their inter-linkages from a corpus of text. Each topic observed as Nouns and Verbs is represented by frequently associated contextual information in a word network, along with centrality measures of associations like betweeness,... | |
 ByMphasis | Ver 4.2 The text similarity analyser finds pairwise similarity between textual content. This helps in identifying if the textual contents have similar verbatim and contextual information. Higher similarity value means the text content have very similar contextual information and are written in similar... | |
 ByMphasis | Ver 3.3 DeepInsights Semantic Triplet Generator is a novel approach of summarizing/converting an unstructured data corpus into query-able triplets of Subject-Predicate-Object using NLP. This creates the basic blocks of Resource Description Framework (RDF) data model which forms the basis of Q&A systems,... |