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NLP dataset

Diverse data ensures a richer understanding of linguistic patterns and a more nuanced comprehension of user sentiment, leading to enhanced user experiences and smarter chatbot developments.

  • Available as a custom dataset
  • Accurate data at your fingertips
  • 100% compliant scraping
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NLP dataset
20,000+ 人以上のお客様に世界中で信頼されています
20,000+ 人以上のお客様に世界中で信頼されています
                              {
  "type": "object",
  "fields": {
    "search_results": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "text": {
            "type": "text",
            "active": true,
            "sample_value": "The product is fantastic and highly recommended!"
          },
          "sentiment_analysis": {
            "type": "text",
            "active": true,
            "sample_value": "Positive"
          },
          "part_of_speech_tags": {
            "type": "array",
            "active": true,
            "sample_value": ["DT", "NN", "VBZ", "JJ", "CC", "RB", "VBN"]
          },
          "named_entities": {
            "type": "array",
            "active": true,
            "sample_value": ["product"]
          },
          "tokenized_text": {
            "type": "array",
            "active": true,
            "sample_value": ["The", "product", "is", "fantastic", "and", "highly", "recommended"]
          },
          "language_model_predictions": {
            "type": "text",
            "active": true,
            "sample_value": "This product has a high probability of positive feedback."
          },
          "named_entity_recognition": {
            "type": "array",
            "active": true,
            "sample_value": ["ORG", "PRODUCT"]
          }
        }
      }
    },
    "related_searches": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "related_search_term": {
            "type": "text",
            "active": true,
            "sample_value": "user sentiment in reviews"
          },
          "related_search_link": {
            "type": "url",
            "active": true,
            "sample_value": "https://nlpdata.com/sentiment-analysis-reviews"
          }
        }
      }
    },
    "url": {
      "type": "url",
      "required": true,
      "active": true
    }
  }
}

NLP dataset sample

Choose from fully managed or self-managed NLP datasets. Fully managed datasets offer a hands-off experience and are managed by our partners. Self-managed custom datasets allow you to set up the project and validation rules. The NLP dataset may include data points such as user sentiment, linguistic patterns, part-of-speech tagging, named entity recognition, tokenized text, and much more.
THE PROCESS

Automated dataset creation platform

Streamline your data-collection process so you can focus on what matters.

  1. Initial setup

    Add the URLs of your target website.

  2. Sample creation

    Get AI-generated schema and sample. Set up validation rules.

  3. Proof of concept

    The scraper is built based on schema and validation rules.

  4. Data collection & delivery

    Data is collected and delivered.

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Custom Dataset Pricing

CUSTOM DATASET
Subscription
Starting from
$300/month
One time
Starting from
$1,000
Proof of Concept
One time
$500
  • AI-Generated schema & sample
  • Control over data validation
  • Real-time product quantity est.
  • Daily, Weekly, Monthly, Custom
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NLP datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

サブスクリプション

さまざまなファイル出力形式

データセットの形式はJSON、ndJSON、CSV、Excelに対応

複数の配信オプション

スケーラブルデータ

インフラ、プロキシサーバー、またはブロックを気にせずに拡張する

カスタム出力フィールド

特定のビジネス要件に合わせてカスタム出力フィールドを定義します

コードのメンテナンス

データのスケーリング

大量のデータ要求を処理可能なサーバーを定義

24時間年中無休のサポート

専用のアカウントマネージャーによりデータ収集を管理

データの品質保証

Eデータの信頼性・正確性を確保して、より良い意思決定を支援

Get structured and reliable NLP data

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How companies use NLP datasets

CS automation

Chatbots and virtual assistants are trained using NLP datasets to understand user inquiries and respond appropriately. Customer service operations are improved by providing timely and contextually relevant responses, reducing response times, and improving customer satisfaction.
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Chatbot training

Cybersecurity response

Businesses use NLP datasets to train algorithms to monitor and analyze communications and alerts for potential security threats. By understanding the linguistic patterns and technical terminologies associated with cyber threats, these NLP-driven tools can identify phishing attempts, malicious emails, and irregular communication that could indicate a breach.
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Cybersecurity threat detection

Consumer insights

NLP datasets are crucial for sentiment analysis, in which businesses analyze text data like customer reviews to determine public opinion. Companies can use this process to understand better consumer emotions, which will help them develop marketing strategies and products.
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Consumer insights

お客様が他の業務に全力を注げるように、当社がデータを提供

大量のウェブデータ

ブロック解除機能と24時間体制のIPローテーションにより、ウェブサイト上のすべてのデータポイントへのアクセスを保証します。

即戦力となるデータ

データ収集プロセスのあらゆる側面が、当社の堅牢なデータ検証プロセスの一環として徹底的に検証されます。

シームレスなデータフロー

カスタムスケジュールを作成してデータ配信を自動化し、ストレージへのデータフローをシームレスに監視します。

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