class_docstr: This implements wrapper for gensim lsa and tfidf analysis of text collection
code: def search(self, text):
      query = self.text2model(text)
      if self._model == "tfidf":
          return self._tfidf_index[query]
      else:
          return self._lsa_index[query]
  
file_path: sematch/sematch/semantic/analysis.py
imports: from gensim import corpora, models, similarities, matutils
label_desc: Use image node_id 4 for calling the TextAnalysis obj's underlying member method code with example usage: obj.search(text) and returns: self, self