Remove 2011 Remove Categorization Remove Natural Language Processing
article thumbnail

Brand24 Review: The Ultimate Tool to Decode Brand Buzz?

Unite.AI

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.

article thumbnail

Can ChatGPT Compete with Domain-Specific Sentiment Analysis Machine Learning Models?

Topbots

SA is a very widespread Natural Language Processing (NLP). So, to make a viable comparison, I had to: Categorize the dataset scores into Positive , Neutral , or Negative labels. Interestingly, ChatGPT tended to categorize most of these neutral sentences as positive. finance, entertainment, psychology).

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Testing the Robustness of LSTM-Based Sentiment Analysis Models

John Snow Labs

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.

article thumbnail

The State of Multilingual AI

Sebastian Ruder

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. Around 400 languages have more than 1M speakers and around 1,200 languages have more than 100k [1].

article thumbnail

Deep text-pair classification with Quora's 2017 question dataset

Explosion

The Quora dataset is an example of an important type of Natural Language Processing problem: text-pair classification. 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. This gives us two 2d arrays — one per sentence.

article thumbnail

A brief history of Data Engineering: From IDS to Real-Time streaming

Artificial Corner

These techniques can be applied to a wide range of data types, including numerical data, categorical data, text data, and more. NoSQL databases are often categorized into different types based on their data models and structures. The integration of AI and ML into data engineering pipelines enables a wide range of applications.

article thumbnail

Introducing spaCy v2.1

Explosion

of the spaCy Natural Language Processing library includes a huge number of features, improvements and bug fixes. spaCy is an open-source library for industrial-strength natural language processing in Python. Version 2.1 Prodigy is a fully scriptable annotation tool that complements spaCy extremely well.

NLP 52