He and PhD student Khizar Qureshi took to Twitter to monitor how people talked about emerging coins. They found that if you measure the conversation properly it’s possible to identify the coins with ...

Abstract: Sentiment analysis refers to the automatic collection, aggregation, and classification of data collected online into different emotion classes. While most of the work related to sentiment ...

This study is an exploratory analysis of applying natural language processing techniques such as Term Frequency-Inverse Document Frequency and Sentiment Analysis on Twitter data. The uniqueness of ...

The tweets of interest are referred to as target tweets. That is, tweets for which we want to infer a sentiment class. In the paper, target tweets relate to tweets about interdisciplinarity, ...

The data sourced from twitter was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets. Model Choice In order to attain sentiment analysis ...