ODSC - Open Data Science

FEBRUARY 17, 2023

What to Expect in 2023: A Data Scientist’s Top 5 AI Predictions Between improved NLP and increased use of AI in finance, here are one data scientist’s 2023 AI predictions. Here’s how you can uncover actionable textual and geospatial patterns related to counter human trafficking using NLP.

ML 52

ML ChatGPT Data Science Machine Learning 52

Pickl AI

JULY 20, 2023

These may range from Data Analytics projects for beginners to experienced ones. Following is a guide that can help you understand the types of projects and the projects involved with Python and Business Analytics. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.

Big Data 40

Big Data Natural Language Processing Machine Learning Python 40

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results.

Convolutional Neural Networks 144

Convolutional Neural Networks Data Mining Categorization Machine Learning 144

Analytics Vidhya

JUNE 16, 2021

The post How to Perform Basic Text Analysis without Training Dataset appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will give you a basic understanding of how.

Data Science 268

Data Science Text Analytics Algorithm NLP 268

IBM Journey to AI blog

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. With multiple families in plan, the first release is the Slate family of models, which represent an encoder-only architecture. To bridge the tuning gap, watsonx.ai

Machine Learning 168

Machine Learning AI AI Automation 168

DataRobot Blog

MARCH 9, 2022

This is one of the reasons why detecting sentiment from natural language (NLP or natural language processing ) is a surprisingly complex task. It could be anything from a sentence to a paragraph to a longer-form collection of text. Because these networks are recurrent, they are ideal for working with sequential data such as text.

Machine Learning 52

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 52

Lexalytics

APRIL 5, 2021

Fast-forward a couple of decades: I was (and still am) working at Lexalytics, a text-analytics company that has a comprehensive NLP stack developed over many years. As with ULMFiT and ELMo, these contextual word vectors could be incorporated into any NLP application. I was out of the neural net biz. and BERT.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52