Our Focus Areas
Our standard framework Recommender Engine and Text Extraction Engine framework We conduct research oriented Labs for our resources in Object Detection and NLP. We strive to work on complex projects in these areas with our continuous learning
Feature learning, representation and extraction with Deep Learning in an automatic way. Autoencoders, Generative Adversarial Networks, Triplet Loss.
Knowledge Graph is new entrant in defining the relationship between the entities and visualize the data through entity relationship
Whether it is media publication or lawyer office or Bank, reading the huge content and summarizing the text without loosing the context is very important. A deep understanding of various techniques in Deep Learning is required because every technique is having its own dis-advantages. OptiValueTek Text Summarization Framework is built on different techniques like Word Vector, Sentence Vector, Knowledge Graph, Seq2Seq model, LSTM, Attention, Memory networks etc., and culmination of all these techniques resolves major challenges in memorizing huge articles and offer unique solution to abstract/extract Text from these articles and provide a contextual summary of it