PythonとNode.jsのWPI v3の結果が異なります

Question

Watson Personality Insightsを使用して、本文から結果を取得しています。 Node.js Personalityの洞察デモから得られた結果は、Python SDKを使用したときの結果とは異なります。

Pythonスクリプト：

with open('input_file.txt', encoding='utf-8') as input_file: 
    profile = personality_insights.profile(
     input_file.read(), content_type='text/plain;charset=utf-8', 
     raw_scores=True, consumption_preferences=True) 

    print(profile) 

Pythonの出力：

{ 
     "trait_id": "big5_agreeableness", 
     "name": "Agreeableness", 
     "category": "personality", 
     "percentile": 0.2641097108346445, 
     "raw_score": 0.717124182764663, 
     "children": [{ 
       "trait_id": "facet_altruism", 
       "name": "Altruism", 
       "category": "personality", 
       "percentile": 0.5930367181429955, 
       "raw_score": 0.7133462509414262 
      }, 
      { 
       "trait_id": "facet_cooperation", 
       "name": "Cooperation", 
       "category": "personality", 
       "percentile": 0.49207238025136585, 
       "raw_score": 0.5781918028043768 
      }, 
      { 
       "trait_id": "facet_modesty", 
       "name": "Modesty", 
       "category": "personality", 
       "percentile": 0.7504251965616365, 
       "raw_score": 0.4840369062774408 
      }, 
      { 
       "trait_id": "facet_morality", 
       "name": "Uncompromising", 
       "category": "personality", 
       "percentile": 0.4144135962141314, 
       "raw_score": 0.6156094284542545 
      }, 
      { 
       "trait_id": "facet_sympathy", 
       "name": "Sympathy", 
       "category": "personality", 
       "percentile": 0.8204286367393345, 
       "raw_score": 0.6984933017082747 
      }, 
      { 
       "trait_id": "facet_trust", 
       "name": "Trust", 
       "category": "personality", 
       "percentile": 0.5357101531393991, 
       "raw_score": 0.5894943830064112 
      } 
     ] 
    } 

Node.jsのスクリプトを（唯一の快適さのスコアを追加することで文字の制限の下に滞在する）：

fs.readFile('input_file.txt', 'utf-8', function (err,data) { 
    var params={}; 
    params.text=data; 
    params.content_type='text/plain; charset=utf-8'; 
    params.raw_scores=true; 
    params.consumption_preferences=true; 

    personality_insights.profile(params, function(error, response) { 
    console.log(JSON.stringify(response)); 
    }); 
}); 

のNode.js出力：

{ 
       "id": "Agreeableness", 
       "name": "Agreeableness", 
       "category": "personality", 
       "percentage": 0.2798027409516949, 
       "sampling_error": 0.101059064, 
       "children": [{ 
        "id": "Altruism", 
        "name": "Altruism", 
        "category": "personality", 
        "percentage": 0.597937110939136, 
        "sampling_error": 0.07455418080000001 
       }, { 
        "id": "Cooperation", 
        "name": "Cooperation", 
        "category": "personality", 
        "percentage": 0.46813215597029234, 
        "sampling_error": 0.0832951302 
       }, { 
        "id": "Modesty", 
        "name": "Modesty", 
        "category": "personality", 
        "percentage": 0.7661123497302398, 
        "sampling_error": 0.0594182198 
       }, { 
        "id": "Morality", 
        "name": "Uncompromising", 
        "category": "personality", 
        "percentage": 0.42178661415240626, 
        "sampling_error": 0.0662383546 
       }, { 
        "id": "Sympathy", 
        "name": "Sympathy", 
        "category": "personality", 
        "percentage": 0.8252000440378008, 
        "sampling_error": 0.1022423736 
       }, { 
        "id": "Trust", 
        "name": "Trust", 
        "category": "personality", 
        "percentage": 0.5190032062613837, 
        "sampling_error": 0.0600995984 
       }] 
      } 

両方の入力ファイルは、同じである2つのアプローチから受信した値の不一致が

Operations at ports in the U.S. Southeast are shut as the region copes with the changing path of one hurricane even as another is churning toward the region. Hurricane Irma was downgraded to a Category 1 storm as it pushed up through western and central Florida, the WSJ’s Arian Campo-Flores and Joseph De Avila report. That put the Port Tampa Bay in its path but left major trade gateways on the Atlantic coast, including Jacksonville, Georgia’s Port of Savannah and South Carolina Port of Charleston largely outside the storm’s strongest force. The second Category 4 storm to reach the U.S. this season lashed the Miami area with powerful winds and sheets of rain, and both Florida coasts were preparing for severe storm surges and flooding as it headed north and likely toward Georgia. With the storm following so soon after Hurricane Harvey hit the Gulf Coast and a third storm, Jose, heading north, the U.S. issued a rare waiver of the Jones Act, the federal law that prohibits foreign ships from operating in domestic sea routes, the WSJ’s Costas Paris reports. The action will allow foreign tankers to distribute fuel to hurricane-stricken areas. 

あります。 属性を追加しても、Pythonコードで受け取った結果に違いがないようであれば、両方のスクリプトで同じ値になります。

Answer 1

あなたはparamsをtext/plainの、ワトソンのAPI用に設定されている場合、見ることができるようにPARAMを使用することをお勧め：Accept: application/jsonresponseの所望のコンテンツタイプですので、あなたがCSVやJSON形式を選択することができます。例えば

：

profile(text, content_type='text/plain', content_language=None, 
    accept='application/json', accept_language=None, raw_scores=False, 
    consumption_preferences=False, csv_headers=False) 

重要：のPythonとあなたの例では、あなただけprintprofileに設定し、いないノードの復帰などの基本的なきれいな印刷結果を得るためindentを使用。 私は多分それがあなたの問題であると思います。

のでprint(json.dumps(profile, indent=2))代わりのprint(profile)

を使用しようと、私はPythonとNodeとAPIリファレンスの例をした、と私は同じ結果を取得します。

personality_insights = PersonalityInsightsV3(
    version='2016-10-20', 
    username='{username}', 
    password='{password}') 

with open(join(dirname(__file__), './profile.json')) as profile_json: 
    profile = personality_insights.profile(
    profile_json.read(), content_type='application/json', 
    raw_scores=True, consumption_preferences=True) 

print(json.dumps(profile, indent=2)) 

人の意見使用するノード例：PythonとJSONリターン用

var PersonalityInsightsV3 = require('watson-developer-cloud/personality-insights/v3'); 
var personality_insights = new PersonalityInsightsV3({ 
    username: '{username}', 
    password: '{password}', 
    version_date: '2016-10-20' 
}); 

var params = { 
    // Get the content items from the JSON file. 
    content_items: require('./profile.json').contentItems, 
    consumption_preferences: true, 
    raw_scores: true, 
    headers: { 
    'accept-language': 'en', 
    'accept': 'application/json' 
    } 
}; 

personality_insights.profile(params, function(error, response) { 
    if (error) 
    console.log('Error:', error); 
    else 
    console.log(JSON.stringify(response, null, 2)); 
    } 
); 

• リファレンスパーソナリティインサイトを使用するため

  Pythonの例。

• API Referenceパーソナリティ分析。