ODSC - Open Data Science

MAY 24, 2023

Generative NLP Models in Customer Service: Evaluating Them, Challenges, and Lessons Learned in Banking Editor’s note: The authors are speakers for ODSC Europe this June. Be sure to check out their talk, “ Generative NLP models in customer service. How to evaluate them?

NLP 52

NLP Neural Network Natural Language Processing Data Science 52

Lexalytics

MAY 25, 2021

One of the most important and most-used functions in text analytics and NLP is sentiment analysis — the process of determining whether a word, phrase, or document is positive, negative, or neutral. For this article, I went through the model to see some of the clues the engine learned.

Natural Language Processing 52

Natural Language Processing NLP Text Analytics Categorization 52

NLP People

MAY 18, 2018

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education & development landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

NLP 52

NLP Computational Linguistics Data Mining Natural Language Processing 52

Unite.AI

FEBRUARY 19, 2024

To elucidate the aforementioned conundrum, this article aims to analyze the current state-of-art of RPA and examine the converging impact of Artificial Intelligence (AI) and Machine Learning (ML) technologies. Simply put, it is a superior iteration of intelligent automation.

Neural Network 182

Neural Network Automation Natural Language Processing Robotics 182

Ehud Reiter

APRIL 22, 2024

Instead the focus was on what the above-mentioned report called Information Gathering and Sensemaking (eg, using text analytics to analyse stuff) and Business Uses (eg, finding potential advertisers). Obviously this kind of thing is still very important, but nice to see that the NLG usage is now the most common!

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering LLM 129

Analytics Vidhya

JUNE 16, 2021

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. The post How to Perform Basic Text Analysis without Training Dataset appeared first on Analytics Vidhya.

Data Science 300

Data Science Text Analytics Algorithm NLP 300

ODSC - Open Data Science

OCTOBER 23, 2023

Traditionally, our NLP track has focused on the usual aspects of NLP, such as text analytics and sentiment analysis. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Data Science 52

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. Capabilities within the Prompt Lab include: Summarize: Transform text with domain-specific content into personalized overviews and capture key points (e.g.,

Machine Learning 189

Machine Learning Metadata AI AI 189

ODSC - Open Data Science

MAY 9, 2024

Designed for robust text analytics and generation, DBRX excels in information retrieval, text summarization, machine translation, conversational AI, and content creation. Its key features include open-source accessibility, scalability, and seamless integration with the popular Databricks platform.

AI Tools 52

AI Tools Large Language Models Machine Learning Data Science 52

Pickl AI

AUGUST 1, 2023

In this article, we will explore the concept of applied text mining in Python and how to do text mining in Python. Introduction to Applied Text Mining in Python Before going ahead, it is important to understand, What is Text Mining in Python? What is text mining in NLP?

Data Analysis 52

Data Analysis Python Categorization Data Mining 52

Kavita Ganesan

AUGUST 25, 2022

Source: oceanspray.com How to Get Started with Sentiment Analysis As you’ve seen in this article, sentiment analysis has many nuances—you can detect sentiments in a sentence, paragraphs of text, and even from facial expressions in images. What sentiment analysis applications come to mind after reading this article?

NLP 52

NLP Text Analytics Artificial Intelligence Artificial Intelligence 52

Pickl AI

JULY 20, 2023

5. Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.

Big Data 40

Big Data Natural Language Processing Python Machine Learning 40

DataRobot Blog

MARCH 9, 2022

This article was originally published at Algorithimia’s website. This article may not be entirely up-to-date or refer to products and offerings no longer in existence. This is one of the reasons why detecting sentiment from natural language (NLP or natural language processing ) is a surprisingly complex task.

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. For each year I looked at the top most-cited articles and entered the article’s topics if they had not already appeared in the timeline for a previous year.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52