OUR PROJECTS
NLP Processing Framework

Modular NLP framework covering preprocessing, feature engineering, and vectorization for conversation and text analytics.

Duration
1 Year
Year
2024
Region
USA

The NLP project contains reusable libraries for text preprocessing, feature extraction, and vectorization, with configurable operation factories for flexible pipeline composition.

It supports advanced call analytics needs such as intent/act tagging, readability metrics, token-level enrichment, and embedding generation.

Problems

Text analytics pipelines needed reusable and configurable NLP operations across use cases.

Opportunities

Build a componentized NLP toolkit that accelerates scorecard and model feature development.

Solutions

Delivered operation-driven modules for preprocessing, engineered linguistic features, and vectorization workflows.

Future Trends

LLM-enhanced feature extraction, domain-adaptive embeddings, and multilingual pipeline support.

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