- 🗓 reported date:
- 🌲 branch:
crawler - 🗂️ The crawler to crawl the data from the Google Pixel forum.
- 🔩 toolkits:
- framework: scrapy.
- 🗓 reported date:
- 🌲 branch:
pats - 🗂️ Labeled data of the crawled data.
- 🔩 toolkits:
- labeling platform: Label Studio
- The scripts inside convert the labeled data from label-studio format to the format that can be used by (1) bert-based models: RobertaABSA model and (2) text-to-text models: LLaMA.
- 🗓 reported date:
- 🌲 branch:
bert_baseline - 🗂️ A training and testing script for running BERT-based ATE+ALSC pipeline for simple aspect-based sentiment analysis.
- 🔩 toolkits:
- framework: PyTorch Lightning + miracleyoo/pytorch-lightning-template
- 🗓 reported date:
- 🌲 branch: N/A
- 🔩 toolkits:
- data analysis tool: tableau
- 🗂️ content:
- visualization: Pixel Sentiment Monitoring gpt baseline @ Tableau Public
- report: 2023/04/14 Progress Report p.6-11
- 🗓 reported date:
- 🌲 branch:
senti_llama - 🗂️ content:
- training script and hyperparam configs for finetuning LLaMA 2 (-chat) on sentiment datasets
- sentiment-LLaMA weights
- sentiment-LLaMA input-format converted datasets
- yelp, imdb, ... [to be updated]
- 🔩 toolkits:
- training streamline: OpenAccess-AI-Collective/axolotl
- attention mechanism: Dao-AILab/flash-attention
- efficiency tool: microsoft/DeepSpeed
- 🗓 reported date:
- 🌲 repo: Nana2929/dialogue-absa
- 🗂️ content:
- We test the dialogue absa dataset
DiaASQwith 3 models. See the repo for more details.- analysis: 0609report, 0915 report
- statistics
- 🌲 branch:
data: conversion scripts for generative model (in our case, LLaMA-2) training. - 🌲 branch:
gpt: api calling scripts for ChatGPT. - 🌲 branch:
llama: metrics scripts for generative model (in our case, all) inference. - 🌲 branch:
train: training scripts for T5.
- We test the dialogue absa dataset
- 🔩 toolkits:
- framework: PyTorch Lightning + miracleyoo/pytorch-lightning-template