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David Kabiito's Projects

absa-bert-pair icon absa-bert-pair

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

absa-pytorch icon absa-pytorch

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

aspectbasedsentimentanalysis icon aspectbasedsentimentanalysis

Aspect Based Sentiment Analysis is a special type of sentiment analysis. In an explicit aspect, opinion is expressed on a target(opinion target), this aspect-polarity extraction is known as ABSA.

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

delayed-memory-update-entnet icon delayed-memory-update-entnet

Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis, published at NAACL 2018

e2e-tbsa icon e2e-tbsa

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction (AAAI 2019)

eeap-examples icon eeap-examples

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

end_of_semester_project icon end_of_semester_project

The goal of this project is to enable you study an existing code base, identify abstractions (data, & procedure abstractions) and build new abstractions for a given problem domain. For this project, you will explore Data Science abstractions for Scheme - https://github.com/n3mo/data-science. The purpose of the abstractions is to allow developers to write data analytics and manipulation software in a language that does not natively provide the support. In this case the language is Scheme.

mem_absa icon mem_absa

Aspect Based Sentiment Analysis using End-to-End Memory Networks

ml-mooc-nptel icon ml-mooc-nptel

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

ner-lstm icon ner-lstm

Named Entity Recognition using multilayered bidirectional LSTM

neuroner icon neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

nlp_yelp_review_unsupervised icon nlp_yelp_review_unsupervised

Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to supervised classifier of review sentiment

pandas_twitter icon pandas_twitter

Analyzing Trump's tweets using Python (Pandas + Twitter workshop)

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