Text mining : mtermvectors for multiple fields

[ACJ (Julien Chloë Antoine)]

Hi everyone!

I'm currently doing some text mining.
I'm looking for a way to insert a second field (storyline) in my following code:

res=es.mtermvectors(index="movies",doc_type="movie",ids=",".join(str(x) for x in docIds),fields= ["short_summary"], field_statistics=True,term_statistics=True,offsets=False,positions=False)

for doc in res["docs"]:
 	docId=int(doc["_id"]);
	print docId
 	docNbTerms=int(doc["term_vectors"]["short_summary"]["field_statistics"]["sum_doc_freq"])
	print docNbTerms

Here is my mapping if you need it:

{
    "settings": {
        "number_of_shards": 1
    },
    "mappings": {
        "docs": {
            "_source": {
                "enabled": true
            },
            "dynamic": "strict",
            "properties": {
                "title": {
                    "type": "text",
                    "index": "not_analyzed"
                },
                "release_year": {
                    "type" : "integer"
                },
                "rating": {
                    "type":"integer"
                },
                "short summary": {
                    "type":"text"
                    "index": "analyzed",

		    "analyzer": "english"


                },
                "directors": {
                    "type":"text"
		    "index": "not_analyzed"		
                },
                "writers": {
                    "type":"text"
		    "index": "not_analyzed"				
                },
                "stars": {
                    "type": "text"
		    "index": "not_analyzed"				
                },
                "storyline": {
                    "type": "text"
		    "index": "analyzed",

		    "analyzer": "english"


                },
                "keywords": {
                    "type":"text"
		    "index": "not_analyzed"
                },
                "genres": {
                    "type":"text"
		    "index": "not_analyzed"
                },
                "duration": {
                    "type" : "text",
		    "index": "not_analyzed"
                }
            }
        }
    }
}

Thanks for your help !