Voice Emotion Detection
Detecting emotion in speech using Neural Networks with trainable Mel Frequency Cepstrum Coefficients (MFFC) layers.
Voice Real-Time Gender Recognition
Recognizing a person's gender in real time using Gaussian Mixture Models.
Gender & Emotion Detection from Audio
Training various Machine Learning models to detect both gender and emotion from Mel Frequency Cepstrum Coefficients (MFFC) extracted from audio.
Text Mining Neural Network
Training a Neural Network to selectively apply extractors to text for automated information mining.
Web Scraping Government Speeches on Covid-19
Employing web scraping techniques to filter and assess the speeches of NY Governor Andrew Cuomo and NY Mayor Bill de Blasio during the covid-19 pandemic.
Text Generation
Training a neural network to replicate Bert Russell's writing style.
Transformer Implementation
Handcoded implementation of the Transformer encoder architecture as described in the BERT paper.
Information Extraction from Text
Leveraging lexical and syntactical text attributes for information extraction on unstructured web data.
App Sentiment Analysis
Employing web scraping and a Bidirectional Encoder Representations from Transformers (BERT) neural network to analyse customer sentiment on multiple Apps competing in the work management space.
Ted Talks Topic Modeling
Combining text feature engineering and Bidirectional Encoder Representations from Transformers (BERT) to automatically classify a TED Talk's topic.
Personal Voice Asssistant
Developing a personal voice assistant leveraging existing real-time voice detection libraries.
Sequence-to-Sequence Language Translation
Translating English to German using a Sequence-to-Sequence neural network.
Identifying Disaster Occurences from Tweets
Applying NLP feature engineering techniques to tweets to create enhanced vector representations of the data, which are used to train a recurrent neural network for disaster prediction.
Image Captioning
Employing transfer learning (Xception and GloVe) to automatically extract image and text features used to train a neural network capable of captioning images.
Entity Resolution & Knowledge Representation
Identifying matching entities in noisy datasets generated from web scraping, then merging the datasets and creating an unifying ontology.
Entity Resolution With Probabilistic Soft Logic
Cross-source entity resolution with Probabilistic Soft Logic (PSL), employing external attributes for collective entity resolution.
Artificial Intelligence Knowledge Graph
Knowlege Graph about AI Research, built via web scraping, entity resolution, external KG linkage, ontology generation and RDF deployment. Includes PageRank, Topic Modeling, Recommender System and UI.
Media Sentiment Analysis
Scraping theme-specific articles from main news outlets, then evaluating overall sentiment through various NLP techniques.
Youtube Sentiment Analysis with Amazon Comprehend
Automating sentiment analysis of Youtube videos with Amazon Comprehend.