TopicLPRank: a keyphrase extraction method based on improved TopicRank

Author:

Liao ShengbinORCID,Yang Zongkai,Liao Qingzhou,zheng Zhangxiong

Funder

National Natural Science Foundation of China

National Key R &D Program of China titled with the Large-Scale Longitudinal and Cross-Sectional Study of Student Development

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference40 articles.

1. Dung NT, Min-Yen K (2007) Keyphrase Extraction in Scientific Publications. In: International Conference on Asian Digital Libraries (ICADL), pp 317–326

2. Martinez-Romo J, Araujo L, Fernandez AD (2016) Semgraph: extracting keyphrases following a novel semantic graph-based approach. J Am Soc Inf Sci 67(1):71–82

3. Li J (2021) A comparative study of keyword extraction algorithms for English texts. J Intell Syst 30(1):808–815

4. Saef Ullah Miah M, Junaida S, Bin ST, Zamli Kamal Z, Rajan J (2021) Study of keyword extraction techniques for electric double layer capacitor domain using text similarity indexes: an experimental analysis. arXiv:2111.07068

5. Rossi F, Caloffi A, Colovic A, Russo M (2022) New business models for public innovation intermediaries supporting emerging innovation systems: the case of the Internet of Things. Technol Forecast Soc Chang 175:121357

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