NLP - Labellerr

NLP

A collection of 15 posts

Evaluating & Finetuning Text-To-Audio Multimodal Models

Evaluating & Finetuning Text-To-Audio Multimodal Models

Table of Contents 1. Introduction 2. Why Are We Fine-Tuning Text-to-Audio Models? 3. Steps For Fine-Tuning a TTA Model 4. Model Architecture of TTA Model 5. Case Study:Fine-Tuning TTA Multimodal Systems for Audiobook Generation 6. Challenges in Text-to-Audio Multimodal Systems 7. Conclusion 8. FAQ Introduction Text-to-Audio Multimodal (TTA) systems

Evaluating and Fine-Tuning Multimodal Video Captioning Models - A Case Study

Evaluating and Fine-Tuning Multimodal Video Captioning Models - A Case Study

Video captioning models represent a significant advancement in the intersection of computer vision and natural language processing. These models automatically generate textual descriptions for video content, enhancing accessibility, searchability, and user engagement. As video content continues to proliferate across various platforms, the ability to accurately describe and index this content

Best Automatic Speech Recognition (ASR) Tools in 2024

Automatic Speech Recognition

6 Best Automatic Speech Recognition (ASR) Tools in 2024

Discover the best speech recognition software in 2024 to streamline workflows, boost accuracy, and automate transcription effortlessly.

ML Guide on Kitsune-Network Attack Detection

Machine Learning

ML Hands-On Guide on Kitsune-Network Attack Detection

Table of Contents 1. Introduction 2. Hands-On Tutorial 3. Conclusion 4. Frequently Asked Questions Introduction In today's digital world of cybersecurity, the threat is ever-evolving, necessitating robust defense mechanisms to safeguard against malicious activities. Kitsune, a neural network-based Network Intrusion Detection System (NIDS), emerges as a cutting-edge solution

ML Begineer's Guide on Network Intrusion Detection

ML Begineer's Guide on Network Intrusion Detection

Table of Contents 1. Introduction 2. Hands-On Tutorial 3. Conclusion 4. Frequently Asked Questions Introduction This is a comprehensive guide on Network Intrusion Detection Systems (NIDS). The blog is tailored for both beginners and experts in machine learning, product managers, and researchers interested in building effective intrusion detection systems. Network

Save Time Reviewing Large Dataset With Quick Grid View Feature

Save Time Reviewing Large Dataset With Quick Grid View Feature

Table of Contents 1. Introduction 2. What Problem Does It Solve? 3. Advantages of Grid View 4. How to Use Grid Feature in Labellerr Platform 5. Conclusion 6. Frequently Asked Questions Introduction We are thrilled to introduce a significant enhancement to Labellerr that will revolutionize your workflow: the grid view

Easy Review Text Annotations With Labellerr's Object-Highlighting Feature

Easy Review Text Annotations With Labellerr's Object-Highlighting Feature

Table of Contents 1. Introduction 2. Why Is It Needed? 3. Advantages of Object-Highlighting Feature 4. How to Use Labellerr's Object Highlighting Feature 5. Conclusion 6. Frequently Asked Questions Introduction Imagine you are an NLP specialist, tackling a massive text file for Named Entity Recognition (NER). You labeled

Insurance Lead Prediction using machine learning

Insurance Lead Prediction Using Machine Learning

Introduction In today's fast-paced world, the insurance industry is continually seeking innovative ways to enhance its operations, boost sales, and improve customer satisfaction. One area that has gained significant attention in recent years is the utilization of machine learning (ML) and natural language processing (NLP) techniques for lead

Life Insurance Risk Assessment Using Machine Learning

Life Insurance Risk Assessment Using Machine Learning

Table of Contents 1. Introduction 2. Machine Learning in Life Insurance Risk Assessment 3. Advantages of Using ML in Life Insurance Risk Assessment 4. Challenges 5. Conclusion 6. Frequently Asked Questions Introduction Life insurance plays a crucial role in securing the financial well-being of loved ones in the event of

Insurance Fraud Detection using NLP: How It Works

Insurance Fraud Detection using NLP: How It Works

Table of Contents 1. Introduction 2. Role of NLP in Fraud Detection 3. Real Life Scenario 4. How Do NLP Powered Companies Detect Insurance Fraud? 5. Companies That Offer Insurance Fraud Detection Solutions Powered by NLP 6. How Can Labellerr Help Create Training Data for NLP Model? 7. Types of

Beginner's Guide To Build NLP Models Using Medical Text Transcription

Beginner's Guide To Build NLP Models Using Medical Text Transcription

Table of Contents 1. Introduction 2. Medical Text Transcription Classification Using NLP 3. Model Building 4. Challenges of NLP in Medical Text Classification 5. Conclusion 6. Frequently Asked Questions Introduction In the realm of healthcare, the vast amount of medical data has motivated the need for efficient methods to organize,

How To Build Fake News Detection Model Using NLP

How To Build Fake News Detection Model Using NLP

Table of Contents 1. Introduction 2. Role of NLP in News Detection 3. NLP Example 4. Creating NLP Model 5. Challenges in NLP 6. Conclusion Introduction In today’s fast-paced digital world, information comes to us in every direction, thus shaping our beliefs and decisions. However, in between this flood

ML Beginner's Guide To Build News Classification Model Using NLP

ML Beginner's Guide To Build News Classification Model Using NLP

Learn how NLP automates news classification by categorizing articles into predefined topics using techniques like tokenization, stemming, and NER. Build a model using preprocessing, feature extraction, and evaluation for accurate categorization

Beginner's Guide to Named Entity Recognition (NER) with Machine Learning

Beginner's Guide to Named Entity Recognition (NER): Complete Tutorial

Discover Named Entity Recognition (NER) in this beginner's guide by Aditya Toshniwal. Learn its workings, applications, and implementation to extract insights from unstructured text!

Executing NER Project On Labellerr Integration With AWS Sagemaker

Executing NER Project On Labellerr Integration With AWS Sagemaker

Table of Contents 1. Introduction 2. What is data annotation? 3. Model Building 4. Conclusion Introduction Natural Language Processing (NLP) has become an integral part of many applications, from chat bots to sentiment analysis. In this hands-on guide, we'll walk through the entire process of Name Entity Recognition