Big Data Aspect-Based Opinion Mining Using the SLDA and HME-LDA Models

Algorithm 4. The process of automatically labelling data.

1: fort in Topics do  //Process each seed word

2: wordList = getWrodListFromCorpus(t) //Find the location where t appears from the corpus and get the corresponding word order

3: wordCluster = getWordCluster(t) //Get all the words of the category t from the clustering results

4: trainSet = new Set //Used to save labelled training samples

5: for wOrder in wordList do

6:  for w in wordCluster do

7:   replaceWord(wOrder, t, w) //Replace the word t in the word order with w

8:   trainSet.add(wOrder, t.Type) //Add the label to which wOrder and t belong to the training set

9:  end for

10: end for

11: end for

Algorithm 4. The process of automatically labelling data.