This code perform inputdata analysis and get it label from product categories

textAnalysis.java

 public ArrayList textAnalisis(String inputdata){
    
 
        System.out.println("-> Nimbler: RestController: current message:\n " + inputdata);
        /**
         * Detector of sentence and divide text on independent sentence.
         */
        String[] sentences = sentenceDetect(inputdata);
        System.out.println(Arrays.toString(sentences));
        /**
         * Split sentence on words and numbers(tokens)
         */
        String[] tokens = tokenize(inputdata);
        System.out.println(Arrays.toString(tokens));
        /**
         * Classyfy all tokens by category (POS - tagger).
         * Set tag to any token.
         */
        String[] tags = tag(tokens);
        System.out.println( "Detected tag:\n");
        System.out.println(Arrays.toString(tags));

        double[] probsCurr = viewProb();
        System.out.println(Arrays.toString(probs));

        System.out.println( "ProbThresholdFilter start...");
        /**
         * Deleted all duplicate category with small probability.
         * This method get only one maxProb category.
         * Method delete all objects smaller than TH.
         */
        double TH = 0.2; //bots ->boots
        System.out.println(Arrays.toString(tags))        
        /**
         * If the probability of detecting a category is low,
         * choose the most likely one from the list
         */
       
        ArrayList containerResult = new ArrayList();  
        
        for(int i =0; i < tokens.length; i++){
            containerResult.add(tokens[i]);
            containerResult.add(tags[i]);
        }
            
            
        System.out.println("Most probability phrase, get first phrase if" + "\nprob > " + TH + " ...");
        Sequence  tagTree[] = topKSequences(tokens);
        
        return containerResult;
    }