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rmarcacini's Projects

cc-meli2019 icon cc-meli2019

Consensus Categorization for MercadoLivre Data Challenge 2019

emotion-recognition-project icon emotion-recognition-project

An SSP Course project at IIITH, to detect emotion in speech signal using Prosody Features, like Intonation, Speech Rate, Pitch, and Intensity. Built using Praat Tool and Keras TensorFlow.

giveme5w icon giveme5w

Extraction of the five journalistic W-questions (5W) from news articles

giveme5w1h icon giveme5w1h

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

ktrain_nere2e icon ktrain_nere2e

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

lc-absa icon lc-absa

ABSA-oriented extensible models (基于PyTorch的ABSA可扩展模型库)

lucylattes icon lucylattes

lucyLattes script para a extração e compilação de dados do currículo Lattes

re-bert-lcf icon re-bert-lcf

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。

ser-coraa-pt-br icon ser-coraa-pt-br

Emotion Recognition from Brazilian Portuguese Informal Spontaneous Speech

vader-pt icon vader-pt

LeIA (Léxico para Inferência Adaptada) é um fork do léxico e ferramenta para análise de sentimentos VADER (Valence Aware Dictionary and sEntiment Reasoner) adaptado para textos em português.

vadersentiment icon vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

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