IEEE

A Review on Text Sentiment Analysis With Machine Learning and Deep Learning Techniques

Abstract: Automating sentiment analysis in texts has become an important task in recent years due to the exponential growth of user-generated content, including comments and opinions on products and ...
How-To Geek on MSN

Stop fighting Windows to learn Python: Why WSL changes everything

Unleash the power of Python without giving up Windows.
Journal of Medical Internet Research

Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies

Module 3 introduces methods for variable curation, including a list of existing tools to extract baseline variables from different sources (eg, codified, free text, and medical imaging) and end points ...
Hosted on MSN

Master data analysis with Python libraries

Python has become the go-to language for data analysis, thanks to its powerful ecosystem of libraries like Pandas, NumPy, Matplotlib, and Seaborn. These tools make it easier to clean, manipulate, ...
GitHub

A blazing fast inference solution for text embeddings models.

35 568M XLM-RoBERTa Snowflake/snowflake-arctic-embed-l-v2.0 41 305M Alibaba GTE Snowflake/snowflake-arctic-embed-m-v2.0 52 335M BERT WhereIsAI/UAE-Large-V1 58 137M NomicBERT ...
IEEE

A Study of the Application of Weight Distributing Method Combining Sentiment Dictionary and TF-IDF for Text Sentiment Analysis

Abstract: The most commonly used methods in text sentiment analysis are rule-based sentiment dictionary and machine learning, with the later referring to the use of vectors to represent text followed ...