--- description: DiscoverTextを実際に使用したユーザーのレビューから、製品の機能や価格、メリットデメリットをご覧いただけます。類似製品との比較も簡単、ぴったりのSaaSが見つかるはず！ image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: DiscoverTextとは？ | 機能や料金、導入事例をご紹介【キャプテラ】 --- 現在地表示: [ホーム](/) > [テキストマイニングツール](/directory/30933/text-mining/software) > [DiscoverText](/software/151927/discovertext) # DiscoverText Canonical: https://www.capterra.jp/software/151927/discovertext ページ：1 / 6\ 次へ: [次ページ](https://www.capterra.jp/software/151927/discovertext?page=2) > 学術機関、企業、政府がテキストの検索、フィルタリング、クラスター化、コーディング、分類を行うためのWebベースの共同テキスト分析ツール。 > > 評価：111人のユーザーによる評価は**4.6/5**。**おすすめ度**で最高の評価。 ----- ## 概要 ### DiscoverTextの対象ユーザー 自然言語のテキスト・データを収集、保存、共同作業するプロセスを合理化できる分析ソリューションを必要としているFortune 1000企業、学術機関、政府機関。 ## 簡単な統計と評価 | 測定基準 | 評価 | 詳細 | | **総合評価** | **4.6/5** | 111 レビュー | | 使いやすさ | 4.2/5 | レビュー全体に基づく | | カスタマー・サポート | 4.6/5 | レビュー全体に基づく | | 価格の妥当性 | 4.6/5 | レビュー全体に基づく | | 機能 | 4.5/5 | レビュー全体に基づく | | おすすめ率 | 90% | (9/10 おすすめ度) | ## 企業情報 - **キャプテラについて**: Texifter - **ロケーション**: Amherst, アメリカ - **設立**: 2009 ## ビジネスコンテキスト - **価格プラン**: $1,000.00 - **価格モデル**: (無料版が利用可能) (無料のトライアル) - **対象となる企業**: 自営業, 2～10, 11～50, 51～200, 201～500, 501～1,000, 1,001～5,000, 5,001～10,000, 10,000+ - **デプロイとプラットフォーム**: クラウド、SaaS、ウェブベース, Windows（デスクトップ） - **サポートされる言語**: アラビア語, イタリア語, オランダ語, スペイン語, デンマーク語, ドイツ語, フィンランド語, フランス語, ヘブライ語, 中国語, 英語 - **利用可能な国**: アメリカ合衆国, インド, オーストラリア, カナダ, ドイツ, ブラジル, メキシコ, 中国, 日本 ## 機能 - コメント、メモ - タグ付け - データのインポート／エクスポート - データ抽出 - トピック・クラスター - ドキュメント管理 - フルテキスト抽出 - 感情分析 - 検索／フィルター - 言語検出 ## 統合 (合計2件) - SurveyMonkey - Twitter/X ## サポートのオプション - メール/ヘルプデスク - ナレッジベース - 電話サポート ## Category - [テキストマイニングツール](https://www.capterra.jp/directory/30933/text-mining/software) ## 関連カテゴリー - [テキストマイニングツール](https://www.capterra.jp/directory/30933/text-mining/software) - [電子情報開示ソフト](https://www.capterra.jp/directory/30552/electronic-discovery/software) ## 代替製品 1. [Relativity](https://www.capterra.jp/software/119810/relativity) — 4.2/5 (57 reviews) 2. [Sightline](https://www.capterra.jp/software/92347/sightline) — 4.5/5 (26 reviews) ## レビュー ### "Superb cloud-based software tool with powerful text analytics with social media integration." — 5.0/5 > **Wasim** | *2017年12月19日* | 高等教育 | おすすめ評価：10.0/10 > > **良いポイント**: The ability for those from the social sciences to be able to import and/or retrieve social media data, including historical data from Twitter, and analyse the data in order to answer research questions. This is because other tools may require a computer science background. Consequently, DiscoverText has been used in answering important social science questions leading to peer reviewed outputs. Over the years I have seen many tools appear and slowly wither away, however, DiscoverText has stood the test of time and has been growing in popularity. DiscoverText is not limited to academic uses and has a number of neat uses in the commercial world. A useful feature applicable to the commercial domain is the ability to retrieve and/or import data from Twitter and identify influential Twitter users, with the additional ability to use machine learning to sift influential users into different groups. For example, a football club may be interested to find out whether influential users are fans of the club or whether it is opposition fans causing a storm. To the best of my knowledge, no other tool is capable of doing this with this level of accuracy. > > **改善点**: To be fair this is not a limitation of DiscoverText per se, as this is a restriction from Twitter, but there is a limit to how many units of tweets can be exported per day. This is not a major issue because there are enough features in DiscoverText that you may not necessarily need to export the data. This is particularly true with a recent integration with NodeXL which provides the ability to export directly to a format supported by NodeXL. > > It allowed me to conduct research that otherwise would not have been possible including both industry and academic projects. ----- ### "A much better way to scrape data than learning how to code an API" — 5.0/5 > **Christine** | *2018年12月29日* | 環境サービス | おすすめ評価：10.0/10 > > **良いポイント**: My review of DiscoverText is a bit limited because I'm really only using it for Twitter. That said, the features are incredible. I know a bit about coding, but the prospect of learning JSON to use Twitter's API was doable but daunting. When I came across DiscoverText I was so pleased to find a way to search, use, and categorize Twitter data that made sense and would save me A LOT of time. I didn't anticipate getting access to so much useful metadata that was easy to navigate and use, so I was pleasantly surprised. The built-in bucket and dataset features are great ways to organize the massive amount of Twitter data that can be collected. The ability to code the data with peers within DiscoverText is also super useful. I really can't exaggerate how many features DiscoverText has that I didn't think I would need but have used to improve the quality of my scholarship. > > **改善点**: The software has many features that I didn't find on my own, so the UI could be improved a bit. That said, the one-on-one tutorial that the founder provides helps mitigate this issue. The tutorial videos are helpful too\! You'll just have to be prepared to set aside a few hours to really learn the program. > > I'm a PhD candidate who straddles the Humanities and Social Sciences, so I use DiscoverText as a research tool. ----- ### "Great for analyzing social media data- just not offline documents." — 2.0/5 > **Katarina** | *2018年4月7日* > > **良いポイント**: If you need to analyze data from social media and survey monkey- it's a great tool. You can search for content by keywords and the data drops in per the chosen frequency. It breaks down keywords and phrases to a list in order of use- where you can drill into each word or phrase to see where it's used and also toggle between different ways of displaying the results. > > **改善点**: I got the trial version to see if it would suit my purpose; I required a tool to analyze and cluster data from articles and other sources but just couldn't get it to work. If the trial period had been longer than 3 days ( I thought I signed up for 30- it's not very clear) I might have had time to figure it out. Better instructions would have helped. The instructions tell you what the features are, not why you need to use them which is not helpful for novice users. ----- ### "Honestly,I can say DiscoverText makes analyzing social data not only easier, but also more enjoyable" — 5.0/5 > **Hossein** | *2018年1月1日* | おすすめ評価：10.0/10 > > **良いポイント**: First, it is so easy to learn and use. Moreover, the DiscoverText founders provided some helpful tutorials and educational videos which are so handy and helpful. This software allows users to makes several datasets of one project. This enables a researcher to work on multi-dimentions of a certain project needless to create different ones. Furthermore, you can create a sample of your data very easily by making a dataset. Its buckets are very interesting also. Additionally, you can make some clouds of data by using cloud explorer feature. Finally, Clustering option is great\! it makes working on big data easy and shows the main trends in them quickly. > > **改善点**: As I can say, sometimes users may get confused by many links and pages. So, maybe finding what you want becomes difficult and you have to try some ways. Another con, in my point of view, is the obscurity of metadata meanings and algorithms. I cannot understand what some of the means and how they are calculated. Furthermore, I think some of metadata can be presented in some more useful ways. But at all, I should confess the metadata explorer is a great ability\! > > It provides me more opportunities for working on my projects. Using it, I have access to many ways for doing research on social media data which have not before. ----- ### "We have been using the software to study twitter conversations on immigration going back to 2013." — 4.0/5 > **Jim** | *2018年1月29日* | 高等教育 | おすすめ評価：10.0/10 > > **良いポイント**: It's ability to capture tweets and now the capacity to export to NodeXL gives us two tools that we use together to study the content and structure of immigration conversations onTwitter. > > **改善点**: At times navigating the menus is counter-intuitive as is some of the terminology. Archives, buckets, datasets all kind of run into one another. > > Easy data capture ----- ページ：1 / 6\ 次へ: [次ページ](https://www.capterra.jp/software/151927/discovertext?page=2) ## リンク - [Capterraで表示する](https://www.capterra.jp/software/151927/discovertext) ## このページは以下の言語で利用できます | ロケール | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | ja | | | nl | | | nl-BE | | | pt | | | pt-PT | | | sv | | ----- ## 構造化データ