Collection on Review Analysis, Opinion Mining, Review Summarization, Review Generation


# Researcher by Organization & Name
- [NISHIKAWA Hitoshi](http://www.hitoshi.nishikawa.name/), Tokyo Institute of Technology, [Publications](http://www.hitoshi.nishikawa.name/publications)

# Book List by Time
- 2014
    - [Sentiment Analysis and
Opinion Mining](http://stp.lingfil.uu.se/~santinim/sais/2014/bingliu.pdf) by Bing Liu

# Paper List by Time

- 2018
    - [LEARNING TO **GENERATE REVIEWS** AND **DISCOVERING SENTIMENT**](https://openreview.net/pdf?id=SJ71VXZAZ) **under open review for ICLR 2018** 

  
- 2017
    - [Towards Automatic **Generation of Product Reviews** from Aspect-Sentiment
Scores](http://www.aclweb.org/anthology/W17-3526) INLG 2017
    - [Learning to **Generate Product Reviews** from Attributes](http://www.aclweb.org/anthology/E17-1059), EACL 2017
    - [Cascaded Convolutional Neural Networks for **Aspect-Based Opinion Summary**](http://doi/10.1007/s11063-017-9605-7), Journal [Neural Processing Letters](http://dblp.uni-trier.de/db/journals/npl/npl46.html), Fudan University China
    - [Large scale **opinion mining** for social, news and blog data](http://10.1016/j.jss.2016.06.012) Journal of System and Software

- 2016
    - [Modeling content and structure for **abstractive review
summarization**](https://10.1016/j.csl.2016.06.005), 2016, Journal of Computer Speech and Language
    - [**Aspect-based Opinion Summarization** with Convolutional Neural Networks](http://10.1109/IJCNN.2016.7727602), Fudan University China
    - [**Aspect-based Sentiment Summarization** with Deep Neural Networks](https://arxiv.org/pdf/1511.09128.pdf), Fudan University China
    - [Balancing Between Over-Weighting and Under-Weighting in Supervised Term Weighting](http://10.1016/j.ipm.2016.10.003) **some test on sentiment classification datasets**
    - [**Context-Sensitive Opinion Mining** using Polarity
Patterns](https://thesai.org/Downloads/Volume7No9/Paper_20-Context_Sensitive_Opinion_Mining_using_Polarity_Patterns.pdf)
    - [INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual
**Aspect-based Sentiment Analysis**](http://www.aclweb.org/anthology/S16-1053)
    - [SemEval-2016 Task 5: **Aspect-Based Sentiment Analysis**](http://alt.qcri.org/semeval2016/task5/)

- 2015
    - [**Retrieval of relevant opinion
sentences** for new products](http://sifaka.cs.uiuc.edu/~dpark34/NewProduct_SIGIR2015.pdf) SIGIR 2015
    - [New term weighting schemes with combination of multiple classifier for **sentiment analysis**]()
    - [》》](https://qiita.com/badrabbit/items/85ffaf38694878d202ee)[Model for Improving Relevant Feature Extraction for Opinion Summarization](https://www.researchgate.net/profile/Ashwini_Rao3/publication/280082824_Model_for_Improving_Relevant_Feature_Extraction_for_Opinion_Summarization/links/55bb158e08ae9289a092823c/Model-for-Improving-Relevant-Feature-Extraction-for-Opinion-Summarization.pdf), MPSTME Mumbai, India, **unsupervised**, **domain independent** 

- 2014
    - [**Abstractive Summarization of Product Reviews** Using Discourse Structure](http://emnlp2014.org/papers/pdf/EMNLP2014168.pdf), EMNLP 2014
    - [A Hybrid Approach to Multi-document Summarization of
**Opinions in Reviews**](http://www.aclweb.org/anthology/W14-4408)
    - [A study of supervised term weighting scheme for **sentiment analysis**](http://10.1016/j.eswa.2013.10.056)
    - [**Mining opinion components** from unstructured reviews: A review](https://https://doi.org/10.1016/j.jksuci.2014.03.009)
    - [Reducing Over-Weighting in Supervised Term Weighting for
**Sentiment Analysis**](https://aclanthology.info/pdf/C/C14/C14-1125.pdf) COLING 2014

- 2013
    - 〓[冗長性制約付きナップサック問題に基づく**複数文書要約**モデル](https://www.jstage.jst.go.jp/article/jnlp/20/4/20_585/_pdf) 、言語処理学会会誌「自然言語処理」、最優秀論文賞、　by [NISHIKAWA Hitoshi](http://www.hitoshi.nishikawa.name/)
    - 〓[文の選択と順序付けを同時に行う**評価文書要約**モデル](https://www.jstage.jst.go.jp/article/tjsai/28/1/28_88/_pdf) ,人工知能学会論文誌、　by [NISHIKAWA Hitoshi](http://www.hitoshi.nishikawa.name/)
    - [》》](https://qiita.com/badrabbit/items/6eeee8a5cc34043f5b65)[Multi-document summarization of **evaluative text**](https://10.1111/j.1467-8640.2012.00417.x) Journal of Computational Intelligence 
    - [Extracting **Evaluative Conditions from Online Reviews**:
Toward Enhancing Opinion Mining](http://www.aclweb.org/anthology/I13-1111) 
    - [Evaluation of an Algorithm for **Aspect-Based Opinion**
Mining Using a Lexicon-Based Approach](http://sentic.net/wisdom2013reinel.pdf)

- 2011
    - [STARLET: Multi-document Summarization of Service and **Product Reviews** with
Balanced Rating Distributions](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.381.5687&rep=rep1&type=pdf)

- 2010
    - [Have2eat: a Restaurant Finder with **Review Summarization** for MobilePhones]()

- 2008
    - [》》](https://qiita.com/badrabbit/items/66dc93b6a0fc7bc20735)[Extractive vs. NLG-based abstractive summarization of evaluative text: The effect of corpus controversiality](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.186.3640&rep=rep1&type=pdf)
    - [》》](https://qiita.com/badrabbit/private/5e95da6e90997f45952e)[Building a **Sentiment Summarizer**
for **Local Service Reviews**](https://s3.amazonaws.com/academia.edu.documents/11179325/paper3.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1509348251&Signature=LHCYYLoNWTKVaRtePkqgw026SQw%3D&response-content-disposition=inline%3B%20filename%3DBuilding_a_sentiment_summarizer_for_loca.pdf) WWW 2008 workshop on NLP in the Information Explosion Era, Google Inc.

- 2006
    - [》》](https://qiita.com/badrabbit/items/22b3d5a271aa8c3b0cb9)[Multi-Document Summarization of **Evaluative Text**](http://www.anthology.aclweb.org/E/E06/E06-1039.pdf), EACL 2006, University of British Columbia Vancouver, Canada, [Slide ppt](https://www.google.co.jp/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&cad=rja&uact=8&ved=0ahUKEwiNxNrYsLPXAhWIe7wKHfJ5CwgQFghAMAI&url=https%3A%2F%2Fwww.cs.ubc.ca%2F~rng%2Ftalkdepository%2Feacl2006.ppt&usg=AOvVaw1razPu9cN3_tzoV2VrQZvt), [182 citations](https://scholar.google.com/citations?user=HNNL22kAAAAJ&hl=ja)

- 2005
    - [》》](https://qiita.com/badrabbit/items/f96c684d33b5064c1221)[Extracting knowledge from evaluative text](https://www.cs.ubc.ca/~rng/psdepository/kcap2005.pdf), 2005, Proceedings of the 3rd international conference on Knowledge capture, 196 citations

#日本語論文DEIM
- [ユーザレビューを用いた全体的・部分的観点の類似に基づく映画推薦](http://db-event.jpn.org/deim2017/papers/85.pdf)
- [単語分散表現と文法的な表現に着目したカスタマーレビューの観点ごとの評価値推定](http://db-event.jpn.org/deim2017/papers/11.pdf)
- [レビューサイトの差異に基づくラベル伝播を用いたユーザレビュー分類手法](http://db-event.jpn.org/deim2017/papers/84.pdf)
- [ユーザレビューの分散表現を用いた主観的特徴の意味演算による観光スポット検索システム](http://db-event.jpn.org/deim2017/papers/86.pdf) ===> [English paper](http://www.iaeng.org/publication/IMECS2017/IMECS2017_pp473-478.pdf)
- [コスメアイテムに対する評価項目別レビュー自動スコアリング方式の開発](http://db-event.jpn.org/deim2017/papers/193.pdf)
    - 個々のユーザにとって真に有用なコスメレビューを提供するためのコスメレビュー推薦システムの構築を目指し
    - コスメアイテムに対する**評価項目別の評価表現辞書**を用いたレビュー**自動スコアリング手法を提案**している
    - 本手法では，実際のレビューから抽出した評価表現を用いて，キーワードの共起に基づく評価表現辞書を構築している． キーワードの共起に基づく辞書を利用することにより，「潤いがかなり続く」や「かなり潤いが続いた」という表現を同一のものと判断することが可能である
    - 今後，**評価表現辞書のさらなる拡充・調整**を行い，スコアリング精度を向上させ
    - 評価表現辞書の構築 (価値観を共有しうる類似ユーザの発見を実現することが必要である)
    - 具体的な辞書の構築は，レビューのテキスト情報およびそのスコアを分析し，アイテム毎に高い評価のレビューに高頻度で出現する表現，低い評価のレビューに高頻度で出現する表現を抽出し
    - 「化粧水」に関するレビューデータを 80 件取得し，特徴的な表現を手動で抽出し，女子大生 2 名で評価値を付与した．ただし，類似した意味を持つ表現が多数存在することから，@cosmeで「効果」として扱われている項目を参考に，39 項目に分類した (表 1 の小カテゴリ)．また，「潤いがかなり続く」と「かなり潤いが続いた」といった表現を同一のものとして扱うため，キーワードの共起に基づく評価表現辞書とした

# Paper List by Tasks
- Generating Reviews
- Sentiment Classification
- Detect deceptive reviews
    - [Negative Deceptive Opinion Spam](http://myleott.com/neg_opspam_NAACL2013.pdf)