Senti Console exhibit dashboards and data from the Senti IoT Micro Services platform
Teaching a computer to recognize toxic comments using Google Cloud Natural Language Processing tools. Submitted for entry into the MLH event at UT-Dallas HackDFW 2019.
Financial news headlines offer valuable NLP data for predicting stock performance through sentiment analysis. In Finance and Banking, language serves as a key tool for analysis, capturing emotional nuances that influence investor behavior and market dynamics. The project focuses on understanding how the subtleties of financial language impact diffe
Senti - an open source IoT project that will make cities smarter
Senti.API
Fine-tuned ALBERT model for 3-class sentiment analysis (Negative / Neutral / Positive) on 500k+ tweets, achieving 92.4% accuracy. Includes comprehensive explainability with SHAP, LIME, and Captum (Integrated Gradients) — compared side-by-side with visualizations and top-word analysis. Also evaluated on IMDb reviews for cross-domain robustness.
Senti Console Boilerplate frontend -- INCOMPLETE
Senti Data Broker Micro Service
Sentiment Analysis of BBC News Articles Across Diverse Categories using Machine Learning and NLP techniques.
LLM-based news summarization and bias detection engine using Retrieval-Augmented Generation (RAG) with LangChain and Transformers.
Senti.Cloud website
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