This study investigates the relationship between Reddit comment sentiments and stock market performance, focusing on predicting the S&P 100 index using data from 2007 to 2015. The researchers employed a large-scale distributed machine learning sys- tem, combining sentiment analysis using SentiWordNet 3.0, dimensionality reduction through Principal ...
Rating prediction is a crucial element of business analytics as it enables decision-makers to assess service performance based on expressive customer feedback. Enhancing rating score predictions and demand forecasting through incorporating performance features from verbatim text fields, particularly in service quality measurement and customer satis...
Published in ITM Web of Conferences
This paper explores the potential of Twitter, a popular social media platform, as a tool for predicting election outcomes. Sentiment analysis has emerged as a powerful tool for predicting election outcomes, with numerous studies showcasing its effectiveness in various countries. For instance, research has utilized sentiment analysis to forecast ele...
Tato bakalářská práce se zaměřuje na analýzu a implementaci metod pro detekci emocí z psaného textu. Emoce hrají zásadní roli v lidské komunikaci a jejich automatická detekce z textu může mít široké uplatnění v různých oblastech. Cílem této práce je provést komparativní analýzu různých modelů, včetně specializovaných a velkých jazykových modelů, a ...
Published in E3S Web of Conferences
Sentiment analysis is natural language processing (NLP) that uses text analysis to recognize and extract opinions in text. Analysis is used to convert unstructured information into more structured information, also to determine whether an object has a positive, negative, or neutral tendency, and is an effort to facilitate decision making for touris...
Although existing work demonstrates that the usage of Scratch strengthens programming skills, little is known about the effect of children encouraging or criticizing each other when programming on the development of their programming skills. To address this gap, we conducted a data analysis to reveal the correlation (or lack thereof) between the se...
Published in European Journal of Tourism, Hospitality and Recreation
The Cappadocia region is one of the most popular tourist destinations in Turkey, and its tourism sector has a significant share in the Turkish economy. In this study, we scraped TripAdvisor reviews of visitors of the Cappadocia region with the Python programming language and used them to analyse public sentiment using various supervised machine lea...
By leveraging historical data together with machine learning algorithms, marketers can predict how new campaigns are likely to perform before launch. This approach can save time and resources and can help marketers optimize campaigns in current time through adjustments to increase return on investment (ROI) and reach the right target group. The obj...
Purpose: This study aims to examine hotel reviews, with a specific emphasis on environmental aspects. Employing advanced sentiment analysis techniques, we delve into user sentiments expressed in evaluations. Theoretical Framework: The theoretical framework utilizes sentiment analysis to delve into hotel reviews, emphasizing the environment. Focus...
This thesis investigates the integration of sentiment analysis from both text and audio data of financial earnings calls, an innovative approach situated at the intersection of Natural Language Processing (NLP), Speech Emotion Recognition (SER), and financial analysis. The core problem addressed is the limited accuracy and depth of sentiment analys...
