download data, (b) text mining (and sentiment analysis) for web scraped Twitter data, and (c) other big data analytics tools …

readability of the news (i.e., the clarity with which the text is written, measured by the fog index) and the returns on Bitcoin …

gathering methods, text data mining is now commonly used by businesses to go through their unstructured text in the form of … upon the public. In this study, text data mining was used to gain some insight into the feeling of Twitter users in regard … process of text data mining social media and its application to current real-world issues. …

documented on social media. With the help of cutting-edge text analysis techniques from the deep learning and natural language … temporality of text, we build separate future and past sentiment indexes to capture people's prior beliefs and posterior feelings …

Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have … grown immensely, text mining has emerged as an important field of research in the domain of finance. Therefore, reviewing … the recent literature on text-mining applications in finance can be useful for identifying areas for further research …