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1.篇章分析：NLPOutput output = HandleDoc.getHandleDoc(input); 查看详情

2.分词：List<String> breaked = Segment.getBreaked(content)；查看详情

3.词性标注: List<Term> terms = HanLP.segment(content)；查看详情

4.实体识别：List<ruc.nlp.term.ner.Entity> nes = NER_Model.GetEntityList(content)；查看详情

5.情感分析（新闻）：Integer score = Sentiment.getOpinion(Sentiment.getOpinionWord(breaked))；查看详情

6.情感分析（微博）：Integer score = Senti.getSentiment(doc)；查看详情

6.关键词抽取：List<KeywordClass> keywords = Keywords.getKeywords(breaked, count)；查看详情

7.摘要抽取：List<String> textSum = HanLP.extractSummary(doc, count)；查看详情

8.专名抽取：List<String> nuggets = Common.getNugget(content)；查看详情

9.情感词抽取：List<OpinionWord> opWords = Sentiment.getOpinionWord(breaked)；查看详情

10.行政区划抽取：List<ChinaRegion> sRegions = ChinaRegionFinder.extractAllRegions(content, true)；查看详情

11.新闻分类：String newsClassify = NewsClassify.getNewsClassify(title,content)；查看详情

12.情感分析（篇章级）:SentiDocClass docSenti = DocSentiment.getDocSentiment(doc, neural);查看详情