This work proposes a novel approach to visually interact with semantic networks constructed via natural language processing techniques. The proposed web interface, WINS, allows the user to select a textual document to be analyzed, choose the algorithm to construct the semantic network, and visualize the network with its metrics. Unlike previous works, which are typically based on co-occurrence matrix for constructing the text network, the proposed interface embeds an additional approach based on the combination of network science with distributed representations of words and phrases.
CITATION STYLE
Borrelli, D., Saremi, R., Vallabhaneni, S., Pugliese, A., Shankar, R., Martinez-Mejorado, D., … Lipizzi, C. (2020). WINS: Web Interface for Network Science via Natural Language Distributed Representations. In Communications in Computer and Information Science (Vol. 1224 CCIS, pp. 614–621). Springer. https://doi.org/10.1007/978-3-030-50726-8_80
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