Sentence examples for approaches for data preprocessing from inspiring English sources

There are a number of studies about sentiment analysis that use different approaches for data preprocessing, feature selection, and sentiment classification [1, 3, 4, 6 10].

The authors argue that primary approaches for data preprocessing are based on semantic analysis (using ontologies) or linked data structures (such as Google knowledge graph).

The R statistical software [48] was applied for data preprocessing (www.bioconductor.org) and statistical analysis.

For each method, default parameters were used for data preprocessing.

SPM5 (Wellcome Department of Cognitive Neurology, London) was used for data preprocessing.

To avoid ghost-EPI artefacts, a generalized reconstruction algorithm was used for data preprocessing.

The R statistical language (distribution 2.9.2) was used for data preprocessing.

To avoid ghost-EPI artifacts, a generalized reconstruction algorithm was used for data preprocessing.

For data preprocessing, an improved nose detection method is proposed.

We used SPM8 for data preprocessing and analysis.

The article by Borgan et al. [ 13] includes information for data preprocessing and normalization.