SenticNet

SenticNet: A Publicly Available Semantic Resource for Opinion Mining. Today millions of web-users express their opinions about many topics through blogs, wikis, fora, chats and social networks. For sectors such as e-commerce and e-tourism, it is very useful to automatically analyze the huge amount of social information available on the Web, but the extremely unstructured nature of these contents makes it a difficult task. SenticNet is a publicly available resource for opinion mining built exploiting AI and Semantic Web techniques. It uses dimension- ality reduction to infer the polarity of common sense concepts and hence provide a public resource for min- ing opinions from natural language text at a semantic, rather than just syntactic, level.


References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Salim Sazzed; Sampath Jayarathna: SSentiA: A Self-supervised Sentiment Analyzer for classification from unlabeled data (2021) not zbMATH
  2. Agerri, Rodrigo; Rigau, German: Language independent sequence labelling for opinion target extraction (2019)
  3. Chaturvedi, Iti; Ragusa, Edoardo; Gastaldo, Paolo; Zunino, Rodolfo; Cambria, Erik: Bayesian network based extreme learning machine for subjectivity detection (2018)
  4. Mukhopadhyay, Soumya: Opinion mining in management research: the state of the art and the way forward (2018)
  5. Matakos, Antonis; Terzi, Evimaria; Tsaparas, Panayiotis: Measuring and moderating opinion polarization in social networks (2017)
  6. Poria, Soujanya; Cambria, Erik; Hussain, Amir; Huang, Guang-Bin: Towards an intelligent framework for multimodal affective data analysis (2015) ioport
  7. Cai, Yi; Li, Qing; Xie, Haoran; Min, Huaqin: Exploring personalized searches using tag-based user profiles and resource profiles in folksonomy (2014) ioport
  8. Dehdarbehbahani, Iman; Shakery, Azadeh; Faili, Heshaam: Semi-supervised word polarity identification in resource-Lean languages (2014) ioport
  9. Olsher, Daniel: Semantically-based priors and nuanced knowledge core for big data, social AI, and language understanding (2014) ioport
  10. Xie, Haoran; Li, Qing; Mao, Xudong; Li, Xiaodong; Cai, Yi; Rao, Yanghui: Community-aware user profile enrichment in folksonomy (2014) ioport
  11. Zarri, Gian Piero: Sentiments analysis at conceptual level making use of the Narrative Knowledge Representation Language (2014) ioport
  12. Zhang, Kunpeng; Xie, Yusheng; Yang, Yi; Sun, Aaron; Liu, Hengchang; Choudhary, Alok: Incorporating conditional random fields and active learning to improve sentiment identification (2014) ioport


Further publications can be found at: https://sentic.net/publications/