Clustering small sets of short texts
http://www.semanlink.net/tag/clustering_small_sets_of_short_texts
Documents tagged with Clustering small sets of short textsClustering of semantically enriched short texts (2018)
http://www.semanlink.net/doc/2021/05/clustering_of_semantically_enri
the issue of clustering small sets of very short texts. Eg. in organizing brain-storming seminars
> In order to cope with polysemy we adapt the SenseSearcher
algorithm (SnS), by Kozlowski and Rybinski. In addition, we test the possibilities of improving the quality of clustering ultra-short
texts by means of enriching them semantically. We present two approaches, one based on
neural-based distributional models, and the other based on external knowledge resources.
> It was shown that **only text-oriented clustering methods (STC, [Lingo](tag:lingo) and SnSRC)
give reasonable results for French ultra short texts**, whereas the clustering quality of
Bisecting k-means in these experiments is very low
> The experiments with the neural network based models (implemented by means of
Word2vec) showed much better results than other semantic enrichment methods for both
algorithms and for both data sets
(Good related work section)
2021-05-26T17:22:53Z