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a2rl

Paper: Aspect-Aware Reinforcement Learning for Aspect-based Sentiment Classification

absadatasets

Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification

absapapers

Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合

advabsa

An adversarial ABSA benchmark, including aspect-based sentiment classification and opinion extraction.

age-gender-estimation

Keras implementation of a CNN network for age and gender estimation

alexapi

Turn a Raspberry Pi into an Alexa Client

amazon-product-api

Amazon Scraper. Scrape products from the amazon search result or reviews from the specific product

amazon-reviews-for-sentiment-analysis

ashapi

aspect-based-sentiment-analysis

A paper list for aspect based sentiment analysis.

aspect-based-sentiment-classification-imp3

the taste of the starbucks

bert_bigru

bigdata

This is big data course final project

conceptnet-numberbatch

covidp

deception-detection-on-amazon-reviews-dataset

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

fake-multiple-features-ml-amazonreviews

Machine Learning method for classifying Amazon reviews as real/fake

haabsa_plus_plus

Hybrid Approach for Aspect-Based Sentiment Analysis

iarm

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis, EMNLP 2018

m3inference

A deep learning system for demographic inference (gender, age, and individual/person) that was trained on massive Twitter dataset using profile images, screen names, names, and biographies

m3inference_training

mams-for-absa

A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

nlp-aspect-based-sentiment-analysis

Aspect-Based Sentiment Analysis (ABSA) using different setups based on 2 stacked BiLSTMs and Attention layers; leveraging PoS, GloVe and BERT (frozen) embeddings

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

sample

A sample data is presented here. As the work is under progression, full dataset will be made available soon.

sentiment-analysis-twitter

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

sentimental-analysis-of-amazon-customer-reviews

This is the machine learning project which uses sentimental analysis of amazon customer reviews.

spam-slayer

Spam Slayer is a web app used to detect deceptions from Amazon products' reviews. Users can copy a link to the product and paste directly paste it to my page. Using my trained deep learning model, Spam Slayer will distinguish between true/fake reviews and show them an adjusted rating without fake reviews.

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.