Tiago Analytics

HR Analytics, NLP for HR Key benefits of semi automation via computational linguistics A. At least equal to 80% of the accuracy of human analysis, taking a fraction of the time required B. Statistical visualization and insights helping improve human expertise C. Quantum gains in business performance (in conjunction with human process expertise) D. Semi automation of tedious, repetitive, time consuming cognitive process E. Greatly reducing inconsistent & bias in human decision making Statistical Methodologies - Naive Bayes K-Nearest Neighbor SVM Neural Networks Decision Trees Various Ensemble Text Analysis Advanced Statistical Methodologies - Hidden Markov Models [ sub topic discovery ] Latent Semantic Analysis [ principal Component analysis by vectorization ] Latent Dirichlet Allocation Non probabilistic fuzzy logic models Connect for a demo ●Sentiment analysis ●Statistical Tagging & Symbolic TaggingMorphology, Tokenization ●Recommendation Engine for semantic content production ●Topic Detection & sub topic detection ●Visualization & KPI Index reporting ●Predictive and prescriptive modeling via NLP Multidimensional insights ●Scoring based on multiple types of semantic content based information modules for deep insights ●Symbolic tagging of semantic content in order to compensate for inadequacy of the learner base ●Through cross validation & testing of generated computational linguistics models ●Iterative semi-supervised conditional rules dictionary