Understanding what the markets will do before the competition realizes the same thing is a cornerstone of success in the financial services industry. While talented market watchers rely on their own ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

In addition, multiclass sentiment analysis using a fine-tuned Korean bidirectional encoder representations from transformers (KoBERT) model classified sentiments into 6 categories. The multiclass ...

Abstract: Twitter is a platform where users may post texts known as "tweets." They may be examined to determine their implications and meanings. Among these techniques, sentiment analysis is perhaps ...

ABSTRACT: In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper ...

This repo hosts a web app that predicts stock trends using machine learning and tweet sentiment analysis. It combines historical data with real-time tweet sentiment for accurate insights. Features ...

There are some general library requirements for the project and some which are specific to individual methods. The general requirements are as follows. There was an ...

Abstract: This Globally people are using social media platforms to share their ideas and information related to different topics every day. Twitter is one of the most popular social media platforms to ...