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Collections of code & documents for 2023 (first year) Pixel User Sentiment Monitoring Project (Google x NCKU-IKM)
License: MIT License
2023-google-pixel-project's Introduction
2023 Google Pixel User Sentiment Monitoring
๐ reported date:
๐ฒ branch: crawler
๐๏ธ The crawler to crawl the data from the Google Pixel forum.
๐ฉ toolkits:
2. Pixel ABSA TestSet (PATS)
๐ reported date:
๐ฒ branch: pats
๐๏ธ Labeled data of the crawled data.
๐ฉ toolkits:
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 .
3. BERT-Series: A Simple ABSA Baseline
๐ reported date:
๐ฒ branch: bert_baseline
๐๏ธ A training and testing script for running BERT-based ATE+ALSC pipeline for simple aspect-based sentiment analysis.
๐ฉ toolkits:
4. LLM-Series: ABSA with ChatGPT
๐ reported date:
๐ฒ branch: N/A
๐ฉ toolkits:
๐๏ธ content:
5. LLM-Series: Senti-LLaMA Experiments [to be updated]
๐ reported date:
๐ฒ branch: senti_llama
๐๏ธ 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]
๐ฉ toolkits:
๐ reported date:
๐ฒ repo: Nana2929/dialogue-absa
๐๏ธ content:
We test the dialogue absa dataset DiaASQ
with 3 models. See the repo for more details.
๐ฒ branch: data
: conversion scripts for generative model (in our case, LLaMA-2) training.
๐ฒ branch: gpt
: api calling scripts for ChatGPT.
๐ฒ branch: llama
: metrics scripts for generative model (in our case, all) inference.
๐ฒ branch: train
: training scripts for T5.
๐ฉ toolkits:
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