OrokoLabs
Research Lab Hero

Advancing the Frontiers of
AI & Intelligence

We conduct rigorous research in artificial intelligence, natural language processing, and business decision systems—bridging the gap between academic innovation and real-world deployment.

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About Our Research Lab

The Oroko Research Lab bridges the gap between academic research and real-world applications. Established in 2022, our lab focuses on cutting-edge research in artificial intelligence, natural language processing, and business decision intelligence. We believe that the most impactful innovation happens at the intersection of rigorous research and practical implementation. Our team of researchers, data scientists, and engineers work on challenging problems that have the potential to transform industries.

Open Collaboration

We partner with academic institutions worldwide

Applied Research

Focus on problems with real-world impact

Knowledge Sharing

Publishing findings and contributing to open source

Ethical AI

Responsible development with fairness and transparency

| Research Division

Research Focus
Areas

View AI Agent Research

Autonomous AI Agents

We research and develop intelligent agents capable of autonomous decision-making, learning from experience, and adapting to dynamic environments. Our work spans reinforcement learning, multi-agent systems, and goal-oriented behavior.

| What We Do

What We Do at
the Lab

Fundamental Research

Exploring novel approaches in AI, machine learning, and natural language understanding. We publish peer-reviewed papers in top-tier conferences and journals.

Applied Research Projects

Translating research insights into practical solutions for our clients. We work on custom research projects that address specific business challenges.

Open Source Contributions

Building and maintaining open-source tools, datasets, and models that benefit the broader research community.

Academic Partnerships

Collaborating with universities on joint research initiatives, internship programs, and knowledge exchange.

Industry Workshops & Talks

Sharing insights through conference presentations, technical workshops, and thought leadership content.

Publications

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Jan 1, 2018
Abdullah K.-K. A., Folorunso S. O., Solanke O. O., Sodimu S. M.

A Predictive Model for Tweet Sentiment Analysis and Classification

Sentiment analysis over Twitter offers organizations and users a fast and effective way to monitor publics' feelings towards events especially during crises. This study presents predictions on positive, negative and neutral sentiment based on security data analysed using polarity classification with VADER algorithm considering contextual analysis.

SENTIMENT ANALYSISWORD SENSE DISAMBIGUATIONNATURAL LANGUAGE PROCESSINGCHI-SQUAREVADER
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Jan 1, 2019
Abdullah K-K. A., Ogunyinka P. A., Sodimu S. M., Solanke O. O.

Optimal Incremental Clustering for Event Detection on Random Twitter Data using Bit-Locality Sensitive Hashing

Social network is overwhelmed by huge amount of unstructured data, ability to find specific content or events in large collections of textual documents such as Twitter data stream is important. This study proposes a method to improve clustering efficiency for large data by integration of Bit-Locality Sensitive Hashing (BLSH) as a cluster search space reduction.

BIT-LOCALITY SENSITIVE HASHINGAPPROXIMATE NEAREST NEIGHBOURMINHASHINCREMENTAL CLUSTERING
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Jan 1, 2019
Abdullah K.-K. A., Sodimu S. M., Odule T. J., Solanke O. O.

A Multiclass Sentiment Classification Using Skip-Gram Embedding with Support Vector Machine-Stochastic Gradient Descent (SVM-SGD)

N-gram feature is used to represent documents in natural language processing but leads to curse of dimensionality. Sentiment classification based on word embedding to represent document with an incremental method reduce dimensionality with dense vector representation of words. This work focus on the skip-gram model with negative sampling for vector representation.

SVMMULTICLASSSKIP-GRAM EMBEDDINGSTOCHASTIC GRADIENT DESCENTNEGATIVE SAMPLING
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Join Our Research Team

We're always looking for talented researchers passionate about pushing the boundaries of AI and technology. Whether you're a PhD candidate, postdoctoral researcher, or industry professional, we offer a collaborative environment where your work can make real-world impact.

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