The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

Sentiment analysis is a text mining task that determines the polarity of a given text, ie, its
positiveness or negativeness. Recently, it has received a lot of attention given the interest in …

Hubris is a known risk for leadership failure. We show that hubristic tendencies can be
detected semantically ex-ante in textual reports, and offer a novel methodology aimed at …

In this study, we attempt to evaluate gender-based differences in gossiping habits, subjects
and sentiments. In order to do so, a mixed methods research approach comprising …

This article presents the results of an analysis of a large set of dream reports (N= 5,208)
using the Linguistic Inventory and Word Count (LIWC) system of Pennebaker, Boyd, Jordan …

The current study examined crisis management and the signals that indicate its appearance.
Based on cognitive and social psychology theories, we explored how senior and non-senior …

We describe the language features of dream narratives from 3 large samples of normal
persons using Linguistic Inquiry Word Count (LIWC), a computer text analysis program …

This research focuses on attitudes of social media users in the Gulf States towards
normalization with the state of Israel. Over the past two decades, a system of unofficial ties …

Abstract Valence Aware Dictionary for sEntiment Reasoning (VADER) is an automated
software program for analyzing textual data based on an established lexicon and annotated …

Objective: Rape-survivor identity is a sign of recovery and positive therapeutic progress
among rape victims. This study is one of the few to focus on factors predicting self-labeling …