Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Effectively exploring and browsing document collections is a fundamental problem in visualization. Traditionally, document visualization is based on a data model that represents each document as the set of its comprised words, effectively characterizing what the document is.   take an alternative perspective: motivated by the manner in which users search documents in the research process,  aim to visualize documents via their usage, or how documents tend to be used.  present a new visualization scheme — cite2vec — that allows the user to dynamically explore and browse documents via how other documents use them, information that  capture through citation contexts in a document collection. Starting from a usage-oriented word-document 2D projection, the user can dynamically steer document projections by prescribing semantic concepts, both in the form of phrase/document compositions and document:phrase analogies, enabling the exploration and comparison of documents by their use. The user interactions are enabled by a joint representation of words and documents in a common high-dimensional embedding space where user-specified concepts correspond to linear operations of word and document vectors. Our case studies, centered around a large document corpus of computer vision research papers, highlight the potential for usage-based document visualization.
['Matthew Berger', 'Katherine McDonough', 'Lee M. Seversky']
I am writing a research paper on a idea cite2vec: Citation-Driven Document Exploration via Word Embeddings
[{"from": "human", "value": "I am writing a research paper on a idea cite2vec: Citation-Driven Document Exploration via Word Embeddings"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Effectively exploring and browsing document collections is a fundamental problem in visualization. Traditionally, document visualization is based on a data model that represents each document as the set of its comprised words, effectively characterizing what the document is.   take an alternative perspective: motivated by the manner in which users search documents in the research process,  aim to visualize documents via their usage, or how documents tend to be used.  present a new visualization scheme \u2014 cite2vec \u2014 that allows the user to dynamically explore and browse documents via how other documents use them, information that  capture through citation contexts in a document collection. Starting from a usage-oriented word-document 2D projection, the user can dynamically steer document projections by prescribing semantic concepts, both in the form of phrase/document compositions and document:phrase analogies, enabling the exploration and comparison of documents by their use. The user interactions are enabled by a joint representation of words and documents in a common high-dimensional embedding space where user-specified concepts correspond to linear operations of word and document vectors. Our case studies, centered around a large document corpus of computer vision research papers, highlight the potential for usage-based document visualization."}]