Product Review Based Aspect Extraction

This repository contains some basic methods for Aspect Extraction, as denoted in Step 1 of this research statement.

Directory structure

.
├── README.md
├── config      # config files
├── data        # compressed and decompressed txt data
├── label       # manually attached labels to use as test set
├── output      # generated output with file extension `*.keywords`
└── src         # code

Papers

Phrase extraction

id	paper	code
autophrase	Shang et al., Automated Phrase Mining from Massive Text Corpora, accepted by IEEE Transactions on Knowledge and Data Engineering, Feb. 2018	https://github.com/luozhouyang/AutoPhraseX
kea	Witten et al., KEA: Practical Automatic Keyphrase Extraction, 2005.	https://github.com/boudinfl/pke
kpminer	El-Beltagy and Rafea, KP-Miner: Participation in SemEval-2, 2010.	https://github.com/boudinfl/pke
multipart	Boudin, Unsupervised Keyphrase Extraction with Multipartite Graphs, NAACL 2018.	https://github.com/boudinfl/pke
positionrank	Florescu and Caragea, PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents, ACL 2017.	https://github.com/boudinfl/pke
singlerank	Wan and Xiao, CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction, 2008.	https://github.com/boudinfl/pke
textrank	Mihalcea and Tarau, TextRank: Bringing Order into Texts, 2004.	https://github.com/boudinfl/pke
tfidf	-	https://github.com/boudinfl/pke
topicalpagerank	Sterckx et al., Topical Word Importance for Fast Keyphrase Extraction, 2015	https://github.com/boudinfl/pke
topicrank	Bougouin et al., TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction, 2013	https://github.com/boudinfl/pke
yake	Campos et al., YAKE! Keyword extraction from single documents using multiple local features, 2020	https://github.com/boudinfl/pke

Aspect extraction

id	paper	code	supervised	result
mate	Angelidis and Lapata, Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised,	https://github.com/stangelid/oposum	semi-	on keyboard dataset from electronic data mate.jsonl
acos	Cai et al., Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions, ACL 2021	https://github.com/NUSTM/ACOS	yes
cat	Embarrassingly Simple Unsupervised Aspect Extraction, ACL 2020	https://github.com/clips/cat	no
AspMem	Chao Zhao and Snigdha Chaturvedi, Weakly-Supervised Opinion Summarization by Leveraging External Information, AAAI 2020	https://github.com/zhaochaocs/AspMem	no	on keyboard dataset from electronic data aspmem.json

Run

pip install -r requirements.txt
cd src
python main.py