Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...

Abstract: In order to perform sentiment analysis on Weibo platform posts, a sentiment analysis model combining the LDA model and the machine learning model Snownlp is used to analyze posts data.

It was mid-October, peak leaf-peeping season in Hanover, New Hampshire, and Chad Markey was on a rare break between clinical rotations during his last year of medical school. He should have been ...

Human behavior is significantly influenced by emotions, with negative sentiments such as fear and anxiety driving various coping mechanisms, including cognitive behavioral therapy (CBT), dietary ...

Markets respond to information faster than anything else, and most of that information begins with a headline. An earnings update, a regulatory note, a product issue, even a short line from an analyst ...

Sentiment analysis is an activity carried out to see the level of public sentiment or public opinion relating to goods or services and even a figure, both political and celebrity figures. In this ...

This project has evolved from a simple data harvester into a sophisticated analysis engine. It connects to the IBKR API, downloads news for multiple symbols over a specified date range, and then ...

The first script, cot_collector.py, is designed to scrape and parse COT data from the CFTC website, specifically from the Chicago Mercantile Exchange (CME) futures reports. Here's how it operates: ...

SNS comments, free-text survey responses, reviews on review sites... Have you ever wanted to know the "emotion" behind the words written there? ・Are they satisfied with this product review? ・I'm not ...