Senti Console exhibit dashboards and data from the Senti IoT Micro Services platform
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
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.
Senti - an open source IoT project that will make cities smarter
Senti.API
Senti Console Boilerplate frontend -- INCOMPLETE
Senti Data Broker Micro Service
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.
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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