Analyzing Features for the Detection of Happy Endings in German Novels

11/28/2016
by   Fotis Jannidis, et al.
0

With regard to a computational representation of literary plot, this paper looks at the use of sentiment analysis for happy ending detection in German novels. Its focus lies on the investigation of previously proposed sentiment features in order to gain insight about the relevance of specific features on the one hand and the implications of their performance on the other hand. Therefore, we study various partitionings of novels, considering the highly variable concept of "ending". We also show that our approach, even though still rather simple, can potentially lead to substantial findings relevant to literary studies.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/10/2016

Automatic Sarcasm Detection: A Survey

Automatic sarcasm detection is the task of predicting sarcasm in text. T...
research
07/18/2023

Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models

We analyze sentiment analysis and toxicity detection models to detect th...
research
12/15/2017

Sentiment Predictability for Stocks

In this work, we present our findings and experiments for stock-market p...
research
06/17/2016

A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection

We investigate the novel task of online dispute detection and propose a ...
research
01/19/2017

Leveraging Cognitive Features for Sentiment Analysis

Sentiments expressed in user-generated short text and sentences are nuan...
research
09/26/2021

Electoral Programs of German Parties 2021: A Computational Analysis Of Their Comprehensibility and Likeability Based On SentiArt

The electoral programs of six German parties issued before the parliamen...
research
06/30/2021

Genre determining prediction: Non-standard TAM marking in football language

German and French football language display tense-aspect-mood (TAM) form...

Please sign up or login with your details

Forgot password? Click here to reset