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Sentiment analysis using cosine similarity measure

2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS), 2015
The opinion of other people is often a major factor influencing our decisions. For a consumer it affects purchase decisions and for a producer or a service provider it helps in making business decisions. Companies spend a lot of money and time on surveys for gathering the public opinion on products and services.
Saprativa Bhattacharjee   +4 more
openaire   +1 more source

Measuring semantic similarity of documents with weighted cosine and fuzzy logic

Journal of Intelligent & Fuzzy Systems, 2020
Currently, the semantic analysis is used by different fields, such as information retrieval, the biomedical domain, and natural language processing. The primary focus of this research work is on using semantic methods, the cosine similarity algorithm, and fuzzy logic to improve the matching of documents.
Juan Huetle Figueroa   +2 more
openaire   +2 more sources

Fuzzy Lattice Neurocomputing Using Weighted Cosine Similarity Measure

2007 International Joint Conference on Neural Networks, 2007
In this work, we investigate the effects of changing the underlying inclusion measure used by fuzzy lattice neurocomputing (FLN) classifiers to the cosine similarity measures. We also show that by weighing the contribution of each attribute found in the data set, we can provide additional improvements over simply using an inclusion/similarity measure ...
Al Cripps, Nghiep Nguyen
openaire   +1 more source

A novel interval-valued neutrosophic AHP with cosine similarity measure

Soft Computing, 2018
Neutrosophic Logic (Smarandache in Neutrosophy neutrosophic probability: set, and logic, American Research Press, Rehoboth, 1998) has been applied to many multicriteria decision-making methods such as Technique for Order Preference by Similarity to an Ideal Solution, Visekriterijumsko kompromisno rangiranje Resenje, and Evaluation based on Distance ...
Eda Boltürk, Cengiz Kahraman
openaire   +1 more source

Distance Weighted Cosine Similarity Measure for Text Classification

2013
In Vector Space Model, Cosine is widely used to measure the similarity between two vectors. Its calculation is very efficient, especially for sparse vectors, as only the non-zero dimensions need to be considered. As a fundamental component, cosine similarity has been applied in solving different text mining problems, such as text classification, text ...
Baoli Li 0001, Liping Han
openaire   +1 more source

Hierarchical document clustering based on cosine similarity measure

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM), 2017
Clustering is one of the prime topics in data mining. Clustering partitions the data and classifies the data into meaningful subgroups. Document clustering is a set of the document into groups such that two groups show different characteristics with respect to likeness.
Shraddha K. Popat   +2 more
openaire   +1 more source

k-Factor-Based Cosine Similarity Measurement

2018
With rapid increase in volume of text documents over Internet, the collections of document in digitilized form piling up every day. There is a need of effective and efficient measurement techniques in order to deal with such an enormous amount of data.
Nadia Siddiqui, Saiful Islam
openaire   +1 more source

Similarity measures of Pythagorean fuzzy sets based on combination of cosine similarity measure and Euclidean distance measure

AIP Conference Proceedings, 2018
Similarity measures based-distance for intuitionistic fuzzy sets (IFSs) have been proposed to the literature. However, this sort of similarity measure has an impediment as it cannot fulfill the axiomatic definition of the similarity by providing the counter-intuitive cases. Due to the disadvantage, a similarity based-distance for Pythagorean fuzzy sets
Wan Rosanisah Wan Mohd, Lazim Abdullah
openaire   +1 more source

Modified Cosine Similarity Measure between Intuitionistic Fuzzy Sets

2012
Similarity of intuitionistic fuzzy sets (IFSs) is an important measure to indicate the similarity degree between IFSs. Recently, Ye (2011) proposed a similarity measure between IFSs based on the cosine concept. Although this cosine similarity measure has good concept and merit, the measure is not satisfied the definition of a similarity between IFSs ...
Chao-Ming Hwang, Miin-Shen Yang
openaire   +1 more source

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