diff options
Diffstat (limited to 'src/client/ClientRecommender.tsx')
| -rw-r--r-- | src/client/ClientRecommender.tsx | 9 |
1 files changed, 6 insertions, 3 deletions
diff --git a/src/client/ClientRecommender.tsx b/src/client/ClientRecommender.tsx index 0e1e8175a..73b05cf1a 100644 --- a/src/client/ClientRecommender.tsx +++ b/src/client/ClientRecommender.tsx @@ -145,14 +145,17 @@ export class ClientRecommender extends React.Component<RecommenderProps> { * Uses Cognitive Services to extract keywords from a document */ - public async extractText(dataDoc: Doc, extDoc: Doc, internal: boolean = true, isMainDoc: boolean = false) { + public async extractText(dataDoc: Doc, extDoc: Doc, internal: boolean = true, isMainDoc: boolean = false, image: boolean = false) { let fielddata = Cast(dataDoc.data, RichTextField); + if (image && extDoc.generatedTags) { + console.log(StrCast(extDoc.generatedTags)); + } let data: string; fielddata ? data = fielddata[ToPlainText]() : data = ""; let converter = async (results: any, data: string) => { let keyterms = new List<string>(); // raw keywords // let keyterms_counted = new List<string>(); // keywords, where each keyword is repeated. input to w2v - let kp_string: string = ""; // keywords concatenated into a string. input into TF + let kp_string: string = ""; // keywords*frequency concatenated into a string. input into TF let highKP: string[] = [""]; // most frequent keyphrase let high = 0; results.documents.forEach((doc: any) => { @@ -190,7 +193,7 @@ export class ClientRecommender extends React.Component<RecommenderProps> { if (!internal) values = await this.sendRequest(highKP); return { keyterms: keyterms, external_recommendations: values, kp_string: [kp_string] }; }; - if (data != "") { + if (data !== "") { return CognitiveServices.Text.Appliers.analyzer(dataDoc, extDoc, ["key words"], data, converter, isMainDoc, internal); } return; |