Unite.AI

NOVEMBER 10, 2024

Sentiment analysis to categorize mentions as positive, negative, or neutral. It uses natural language processing (NLP) algorithms to understand the context of conversations, meaning it's not just picking up random mentions! Brand24 was founded in 2011 and is based in Wrocław, Poland. Easy reporting functionality.

Categorization 147

Categorization AI Tools Natural Language Processing Automation 147

Topbots

JUNE 22, 2023

SA is a very widespread Natural Language Processing (NLP). Hence, whether general domain ML models can be as capable as domain-specific models is still an open research question in NLP. So, to make a viable comparison, I had to: Categorize the dataset scores into Positive , Neutral , or Negative labels. First, I must be honest.

Machine Learning 107

Machine Learning ChatGPT Natural Language Processing Categorization 107

John Snow Labs

DECEMBER 26, 2023

Sentiment analysis, a branch of natural language processing (NLP), has evolved as an effective method for determining the underlying attitudes, emotions, and views represented in textual information. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). abs/2005.03993 Andrew L. Maas, Raymond E.

Neural Network 52

Neural Network Computational Linguistics NLP Natural Language Processing 52

AWS Machine Learning Blog

NOVEMBER 18, 2024

Use the following information as background to categorize the question - An API well number or API# can can have up to 14 digits sometimes divided by dashes. If you are unable to categorize the question or it is not related to one of the below categories then return "unknown". - For this, we use Anthropic’s Claude v2.1

LLM 102

LLM Python Generative AI Machine Learning 102

Sebastian Ruder

NOVEMBER 14, 2022

At the same time, a wave of NLP startups has started to put this technology to practical use. I will be focusing on topics related to natural language processing (NLP) and African languages as these are the domains I am most familiar with. Bender [2] highlighted the need for language independence in 2011.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Explosion

FEBRUARY 12, 2017

The question of how idealised NLP experiments should be is not new. The model is implemented using Thinc , a small library of NLP-optimized machine learning functions being developed for use in spaCy. We want to learn a single categorical label for the pair of questions, so we want to get a single vector for the pair of sentences.

Neural Network 40

Neural Network Deep Learning Natural Language Processing NLP 40

Explosion

MARCH 17, 2019

Most NLP projects are easier if you have a way to train models on exactly your data. Language model pretraining By far the biggest news in NLP research over 2018 was the success of language model pretraining. It helps most for text categorization and parsing, but is less effective for named entity recognition. average was 2 lbs.")

NLP 52

NLP Python Neural Network Natural Language Processing 52