File size

498.97 KB

---

Upload date

2 Sep 2026

---

Downloads

0 downloads

---

EQF level

N/A

---

Copyright license

N/A

Resource Type

Report or publication
Automatically identified by ESL

---

Language

English
Automatically identified by ESL

---

Education Sector

Continuing professional development Higher education
Automatically identified by ESL

---

Estimated Learning Duration

Not specified
Automatically identified by ESL

Section 3.3 Text.pdf

This document provides an overview of Natural Language Processing (NLP), outlining key tasks like Natural Language Understanding (NLU) and Natural Language Generation (NLG), along with sentiment analysis and its advancements through deep learning models. It discusses methodologies such as Hidden Markov Models, the impact of neural networks like RNNs and CNNs, and the importance of explainability in AI-driven sentiment analysis. AI generated

Trouble viewing? Download the file instead.

Back to project page

Acronym

GRIT

---

Title

Growth mind-set through Resilient Intelligent Technologies

---

Description

GRIT’s general objective is to improve non-cognitive skills’ development in young researchers and students in order to support social-awareness, civic commitment and public engagement through machine learning techniques, sentiment analysis and gamification. Specific objectives are the improvement of: 1.HEIs’ social dimension to empower academic civic commitment, public engagement & social innovation; 2.new dimension in continuing education; 3.academic communities’ resilience for open innovation.

---

Project Duration

Sep 2022 to Jun 2025

---

Project EQF levels

N/A

---

Project Reference Code/ID

N/A

---

Project copyright license

N/A

---

Materials

31 files | 76.31 MB

---

Last updated

09/2026

---

Download Statistics

0 file downloads | 0 B