---
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: tweet_text
    dtype: string
  - name: tweet_date
    dtype: string
  - name: sentiment
    dtype: int64
  - name: query_used
    dtype: string
  splits:
  - name: Train
    num_bytes: 15324413
    num_examples: 95000
  - name: Validation
    num_bytes: 808825
    num_examples: 5000
  - name: TestTema
    num_bytes: 1057904
    num_examples: 5000
  - name: Test
    num_bytes: 684589
    num_examples: 5000
  - name: Test3classes
    num_bytes: 744334
    num_examples: 4999
  download_size: 11554103
  dataset_size: 18620065
configs:
- config_name: default
  data_files:
  - split: Train
    path: data/Train-*
  - split: Validation
    path: data/Validation-*
  - split: TestTema
    path: data/TestTema-*
  - split: Test
    path: data/Test-*
  - split: Test3classes
    path: data/Test3classes-*
license: cc-by-nc-4.0
task_categories:
- text-classification
language:
- pt
tags:
- Twitter
- Sentiment Analysis
- With Bias
- Emojis
- URLs
- Emoticons
pretty_name: Dataset with Tweets in Portuguese Labelled for Sentiment Analysis.
size_categories:
- 100K<n<1M
---

This Dataset is saved by Students of the Subject: Interação em Linguagem Natural 2023/24
From: FCUL (Faculdade de Ciências da Universidade de Lisboa)

Used for Sentiment Analysis with a pre-trained Roberta Model.