Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities
S García-Méndez, F De Arriba-Perez… - IEEE …, 2021 - ieeexplore.ieee.org
Current language processing technologies allow the creation of conversational chatbot
platforms. Even though artificial intelligence is still too immature to support satisfactory user …
platforms. Even though artificial intelligence is still too immature to support satisfactory user …
Recurrent patterns of user behavior in different electoral campaigns: a twitter analysis of the Spanish general elections of 2015 and 2016
We have retrieved and analyzed several millions of Twitter messages corresponding to the
Spanish general elections held on the 20th of December 2015 and repeated on the 26th of …
Spanish general elections held on the 20th of December 2015 and repeated on the 26th of …
NLP-Based Sentiment Analysis with Machine Learning Model for Election Campaign—A Survey
SS Sangle, RR Sedamkar - Congress on Intelligent Systems, 2022 - Springer
The election campaign provides the evaluation and experience of the voters. The analysis of
an election campaign comprises the different twists and turns to monitor and evaluate the …
an election campaign comprises the different twists and turns to monitor and evaluate the …
Social Media Sentiment Analysis Using Deep Learning Approach
MM Iqbal, KS Arikumar, BV Venkateswaralu… - … on Intelligent Systems …, 2022 - Springer
Compared to more traditional social media channels, Facebook and Twitter are far more
effective at spreading information. Social media has developed into a great data origin for …
effective at spreading information. Social media has developed into a great data origin for …
Predicting the Political Polarity of Tweets Using Supervised Machine Learning
M Voong, K Gunda, SS Gokhale - 2020 IEEE 44th Annual …, 2020 - ieeexplore.ieee.org
With the advent of social media; politicians, media outlets, and ordinary citizens alike are
routinely turning to Twitter to share their thoughts and feelings. Discerning politically biased …
routinely turning to Twitter to share their thoughts and feelings. Discerning politically biased …
Semi-Automatic Training Set Construction for Supervised Sentiment Analysis in Polarized Contexts
Standard sentiment analysis techniques rely either on sets of rules based on semantic and
affective information or in supervised machine learning approaches whose quality heavily …
affective information or in supervised machine learning approaches whose quality heavily …