Sentiment Analysis

ESG stands for Environmental, Social and Governance. ESG metrics are now an increasingly part of investment processes and financial reporting. Capital markets use ESG to evaluate companies’ and determine future performance based on these non-financial indicators. …

How to perform sentiment analysis on tweets using pandas, NumPy and seaborn — and how to best obtain tweet data. — Table of Contents Introduction Sentiment Analysis on Twitter Dataset Installation and Prerequisites Loading the Dataset Cleaning the Dataset Performing Sentiment Analysis on the Dataset Obtaining Data for Sentiment Analysis Limitations of Conventional Web Scraping Best Way of Obtaining Data for Sentiment Analysis — Using an Advanced Web Scraper

Co-authored with: Matan Orbach, Yoav Katz, Noam Slonim — Customer reviews of businesses and products have become a powerful tool for measuring customer satisfaction. They provide useful insights that help companies improve their services and assist consumers in decision-making. Sentiment analysis plays a key role in analyzing these reviews. It identifies the sentiment expressed in the text within an…

Using sentiment analysis and significance testing to gauge Twitter’s response in the first week after OpenAI’s product launch — On Wednesday November 30, OpenAI launched one of the fastest growing products in history, ChatGPT. In this article we will use the Twitter API, sentiment analysis, and survey data technology to analyse people’s reactions as posted on Twitter over seven days after the product launch.

What is Sentiment Analysis? Sentiment analysis is the operation of categorizing whether a block of text is positive, negative, or, neutral. Sentiment analysis is contextual mining of terms which indicates the social sentiment of a brand and also helps the business to decide whether the product which they’re making is…

Sentiment Analysis “The human brain, then, is the most complicated organization of matter that we know.” As quoted by Isaac Asimov (1987), human thought is the hardest to predict. However, human intelligence allows them to exploit data to make predictions on sentimentalities to have an outcome that is an advantage…

Introduction Natural Language Processing, or NLP for short, is broadly defined as software’s automatic manipulation of natural languages, like speech and text. NLP is a part of Computer Science, Human language, and Artificial Intelligence. It is the technology that is used by machines to understand, analyze, manipulate, and interpret human languages…