This library contains easy-to-use and high-performant nearest-neighbor-search algorithms (as specified in "Mining of Massive Datasets", Cambridge University Press, Rajaraman, A., & Ullman, J. D.) implemented in Java, which can be used to determine the similarity between text Strings or sets ...
Clustering is a useful technique that organizes a large quan-tity of unordered text documents into a small number of meaningful and coherent clusters, thereby providing a ba-sis for intuitive and informative navigation and browsing mechanisms. Partitional clustering algorithms have been recognized to be...
The article deals with the analysis of harmonisation options of key data from points of interest across different geosocial networks. Data harmonization is realised in the paper by using the five...doi:10.1007/978-3-319-94544-6_12Perales, Francisco JoséKittler, JosefSpringer, Cham...
7.Research on Time Series Similarity Search Algorithms for Gas Monitoring Data面向瓦斯监测数据的时间序列相似搜索算法研究 8.Estimate on the Effects of Early Abandon Technique in Time Series Similarity Search一种时间序列相似搜索中提前终止效率的估算方法 ...
Evaluation of Scientific Elements for Text Similarity in Biomedical Publications mariananeves/scientific-elements-text-similarity • WS 2019 Rhetorical elements from scientific publications provide a more structured view of the document and allow algorithms to focus on particular parts of the text. 1 ...
We apply our method to a dialog-utterance dataset, which consists of short dialog texts. Empirical study shows that the proposed method outperforms one of the state-of-the-art clustering algorithms for short text clustering. 展开 关键词:
I've also looked at the family of BM25 algorithms and again, it doesn't seem to be able to get past the similarity of the contents of the contents of productnames. I've also looked at training a simple text classifier on word frequency counts using a bag-of-words model based on...
Base type for similarity algorithms. Similarity algorithms are used to calculate scores that tie queries to documents. The higher the score, the more relevant the document is to that specific query. Those scores are used to rank the search results....
🦀📏 Rust library to compare strings (or any sequences). 25+ algorithms, pure Rust, common interface, Unicode support. unicodediffdistancefuzzy-matchingsimilaritylevenshteinjaro-winklerlevenshtein-distancedamerau-levenshteinhamming-distancehammingjarotext-metricdamerau-levenshtein-distancetextdistance ...
Usually, this is done using the Porter or Snowball algorithms, but for our work, we used the Kazakh rule-based stemming algorithm [3]. In the next step, the stems of the words are converted into vectors using TF-IDF method and as a result a table with numbers is formed and the ...