TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
GitHub

Simplifying Persian NLP for Modern Applications

Shekar is an open-source Python library for Persian natural language processing, inspired by the satirical story فارسی شکر است (Persian is Sugar) by Mohammad Ali Jamalzadeh. Reflecting its emphasis on ...
IEEE

Indonesian Text Normalization for Spam Detection: Non-Standard Word Processing and Correction

Abstract: One of the basic features that is still in use today is SMS (Short Message Service). However, this service is often misused by specific individuals to spread unwanted messages or spam. For ...
GitHub

PromptNorm: Image Geometry Guides Ambient Light Normalization

Ambient lighting normalization is an important computer vision task that aims to remove shadows and standardize illumination across an entire image. While previous approaches have primarily focused on ...
IEEE

DNMCN: Dual-Stage Normalization Based Modality-Collaborative Fusion Network for Multimodal Sentiment Analysis

Abstract: Due to the high-quality semantic information provided by the text modality, text-driven models have become the dominant approach for Multimodal Sentiment Analysis (MSA) in recent years.
Android

How Does Text to Speech Work?

If you’re comparing text to speech providers for a B2B product, you shouldn’t think of it as “AI reads text.” A modern AI voice generator is a pipeline: it takes messy written text, turns it into a ...