# Dcipher Analytics Help Center

> Help center for Dcipher Analytics

## AI Gateway

- [Get started with Dcipher MCP Server](https://help.dcipheranalytics.com/en/articles/16540725-get-started-with-dcipher-mcp-server.md): Dcipher MCP Server is a cloud-hosted Model Context Protocol \(MCP\) server that gives your AI client secure, real-time access to your Dcipher workspace in one conversation.
- [Authentication and authorization](https://help.dcipheranalytics.com/en/articles/16540736-authentication-and-authorization.md): Dcipher MCP Server uses OAuth 2.1 with PKCE as its only authentication mechanism, providing a secure, standardized, interactive consent flow.
- [Configure OAuth 2.1](https://help.dcipheranalytics.com/en/articles/16540751-configure-oauth-2-1.md): Dcipher MCP Server uses OAuth 2.1 with PKCE \(RFC 7636\) as its only authorization mechanism, following the MCP authorization specification.
- [Supported tools](https://help.dcipheranalytics.com/en/articles/16540771-supported-tools.md): Dcipher MCP Server gives your AI client a single set of tools for working with your Dcipher organization.

## Using Dcipher Insight Booster

- [Creating an Insight Booster project](https://help.dcipheranalytics.com/en/articles/10052427-creating-an-insight-booster-project.md): Insight Booster is a toolkit specifically designed for text data analysis. This article explains how to create an Insight Booster project.
- [Linking a Knowledge Base to a project](https://help.dcipheranalytics.com/en/articles/10063552-linking-a-knowledge-base-to-a-project.md): Once you've created a Knowledge Base, you need to link it to your Insight Booster project. This article explains the required steps.
- [Navigating through the Insight Booster](https://help.dcipheranalytics.com/en/articles/10063593-navigating-through-the-insight-booster.md): This article helps you locate and navigate through the various sections using the icons in an Insight Booster project.
- [Generating a content landscape and using the Research Chatbot and semantic search](https://help.dcipheranalytics.com/en/articles/10063608-generating-a-content-landscape-and-using-the-research-chatbot-and-semantic-search.md): This article guides you on generating a content landscape and interacting with it through the Research Chatbot.
- [Generating a growth chart](https://help.dcipheranalytics.com/en/articles/10063652-generating-a-growth-chart.md): This article walks you through creating a growth chart in Insight Booster to visualize changes over time.
- [Generating a radar](https://help.dcipheranalytics.com/en/articles/10063724-generating-a-radar.md): This article walks you through the steps for creating a radar.
- [Generating a matrix](https://help.dcipheranalytics.com/en/articles/10063747-generating-a-matrix.md): This article explains how to generate a matrix.
- [Generating a report](https://help.dcipheranalytics.com/en/articles/10063773-generating-a-report.md): This article explains how to create comprehensive reports effortlessly using the Report section of Insight Booster.
- [Creating a template for auto-generating a report](https://help.dcipheranalytics.com/en/articles/10063836-creating-a-template-for-auto-generating-a-report.md): This article explains how to save your reports as templates for future use in other projects, and how to utilize them.
- [Share your Insight Booster with others](https://help.dcipheranalytics.com/en/articles/10063864-share-your-insight-booster-with-others.md): This article explains how to share an Insight Booster project with others.
- [Integrating a Research Chatbot into your website or application](https://help.dcipheranalytics.com/en/articles/10063919-integrating-a-research-chatbot-into-your-website-or-application.md): Steps for integrating a Research Chatbot into your own web application.
- [Generating a trend evolution chart](https://help.dcipheranalytics.com/en/articles/11086530-generating-a-trend-evolution-chart.md): In this article you'll learn how to set up a trend evolution chart.
- [Creating a Knowledge Base](https://help.dcipheranalytics.com/en/articles/10063392-creating-a-knowledge-base.md): To start an Insight Booster project, you need a Knowledge Base. This article walks you through the steps to create one.
- [Creating a Knowledge Base based on social media](https://help.dcipheranalytics.com/en/articles/11086116-creating-a-knowledge-base-based-on-social-media.md): In this article, you’ll learn how to create a social media-based Knowledge Base.
- [Creating a Knowledge Base based on PDF reports](https://help.dcipheranalytics.com/en/articles/11086306-creating-a-knowledge-base-based-on-pdf-reports.md): In this article, you’ll learn how to create a PDF-based Knowledge Base.
- [Creating a Knowledge Base based on news](https://help.dcipheranalytics.com/en/articles/11086355-creating-a-knowledge-base-based-on-news.md): In this article, you’ll learn how to create a news-based Knowledge Base.
- [Creating a Knowledge Base based on Research Agent outputs](https://help.dcipheranalytics.com/en/articles/11086465-creating-a-knowledge-base-based-on-research-agent-outputs.md): In this article, you’ll learn how to create a Knowledge Base using Research Agent outputs.
- [Creating a Knowledge Base based on structured datasets](https://help.dcipheranalytics.com/en/articles/11086562-creating-a-knowledge-base-based-on-structured-datasets.md): In this article, you’ll learn how to create a Knowledge Base using structured datasets.

## Using Dcipher Studio

- [Setting up a free trial account](https://help.dcipheranalytics.com/en/articles/4319243-setting-up-a-free-trial-account.md): To get started with Dcipher Analytics, set up a free trial account.
- [Creating a project](https://help.dcipheranalytics.com/en/articles/4171564-creating-a-project.md): Create your first project to get started with Dcipher Analytics.
- [Importing data from the file](https://help.dcipheranalytics.com/en/articles/4171566-importing-data-from-the-file.md): Import data from single or multiple files in any of a number of formats, including JSON, TXT, CSV, TSV, Excel, and PDF.
- [Importing data from social media](https://help.dcipheranalytics.com/en/articles/4171565-importing-data-from-social-media.md): Use connectors to blogs, forums, Twitter, Facebook, Instagram, and YouTube to import data from these channels directly into your project.
- [Importing data from news media](https://help.dcipheranalytics.com/en/articles/5767977-importing-data-from-news-media.md): Access news articles from 100+ countries and import them directly into your project
- [Importing data from Miro](https://help.dcipheranalytics.com/en/articles/6910026-importing-data-from-miro.md): Import Miro boards into Dcipher Analytics and automatically organize Miro notes based on their content
- [Importing data from SurveyMonkey](https://help.dcipheranalytics.com/en/articles/5577225-importing-data-from-surveymonkey.md): Simplify your survey analysis by using SurveyMonkey integration on Dcipher Analytics
- [Getting familiarized with the data](https://help.dcipheranalytics.com/en/articles/4171637-getting-familiarized-with-the-data.md): Get a visual overview of the data before starting to work with it.
- [Using workbenches](https://help.dcipheranalytics.com/en/articles/4171529-using-workbenches.md): Workbenches provide windows into the data to help interpret and understand it, as well as options for working the data.
- [Applying operations](https://help.dcipheranalytics.com/en/articles/4171543-applying-operations.md): Operations are used for processing data in Dcipher. Here is how to use them.
- [Understanding operations pipelines](https://help.dcipheranalytics.com/en/articles/4171544-understanding-operations-pipelines.md): Dcipher tracks the workflow by constructing pipelines of operations based on user interactions with the data.
- [Triggering operations via drop zones](https://help.dcipheranalytics.com/en/articles/4171546-triggering-operations-via-drop-zones.md): Workbench drop zones provide the most relevant processing options for your data and trigger operation sequences based on your objective.
- [Selecting data in different workbenches](https://help.dcipheranalytics.com/en/articles/4171560-selecting-data-in-different-workbenches.md): Learn the shortcuts for selecting data in different workbenches to efficiently apply operations and filters on subsets of data.
- [Sampling](https://help.dcipheranalytics.com/en/articles/4231167-sampling.md): The Sample operation selects a random sample from a dataset.
- [Field type conversion](https://help.dcipheranalytics.com/en/articles/4230920-field-type-conversion.md): The Change Field Type operation converts the type of a field.
- [Date format conversion](https://help.dcipheranalytics.com/en/articles/4230938-date-format-conversion.md): The Change Date operation converts the format of dates.
- [Near duplicates removal](https://help.dcipheranalytics.com/en/articles/5716729-near-duplicates-removal.md): Deletes almost duplicates texts based on the similarity threshold set.
- [The Preprocessing Wizard: Fast text cleaning & preprocessing](https://help.dcipheranalytics.com/en/articles/4171485-the-preprocessing-wizard-fast-text-cleaning-preprocessing.md): Clean and preprocess text through outlier removal, deduplication, language filtering, text cleaning, text splitting, and content extraction.
- [Semantic filtering & disambiguation](https://help.dcipheranalytics.com/en/articles/4171523-semantic-filtering-disambiguation.md): Filter text data based on meaning rather than keywords to account for the ambiguity and richness of natural languages.
- [Case conversion](https://help.dcipheranalytics.com/en/articles/4230928-case-conversion.md): The Change Case operation converts the case of text, with options for lowercasing, uppercasing, and various mixed-case formats.
- [Duplicate removal](https://help.dcipheranalytics.com/en/articles/4230945-duplicate-removal.md): The Delete Duplicates operation deletes duplicate values.
- [Pattern matching & replacement](https://help.dcipheranalytics.com/en/articles/4231172-pattern-matching-replacement.md): The Replace Pattern operation replaces a user-specified pattern in text with a user-specified text string.
- [Text cleaning](https://help.dcipheranalytics.com/en/articles/4230862-text-cleaning.md): The Clean Text operation provides options for cleaning elements from text, such as URLs, @ tags, hashtags, punctuation, tabs, and emojis.
- [Text length measurement](https://help.dcipheranalytics.com/en/articles/4231198-text-length-measurement.md): The Calculate Text Length operation counts the number of letters, digits, spaces, other characters, words, and sentences in text.
- [Splitting text into sentences](https://help.dcipheranalytics.com/en/articles/5832639-splitting-text-into-sentences.md): This operation splits text into sentences while paying attention to language-specific syntax rules.
- [Tokenization: splitting text into words and phrases](https://help.dcipheranalytics.com/en/articles/4170776-tokenization-splitting-text-into-words-and-phrases.md): The Tokenize & Tag operation splits text into meaningful units in the form of words, phrases, and named entities, tagged by part-of-speech.
- [Smart segmentation](https://help.dcipheranalytics.com/en/articles/4230707-smart-segmentation.md): The Segment Text operation splits text into segments based on semantic similarity as well as references between adjacent sentences.
- [Pattern-based text splitting](https://help.dcipheranalytics.com/en/articles/4231179-pattern-based-text-splitting.md): The Split by Pattern operation splits text by pattern, for example into sentences or paragraphs.
- [Keyword-based content extraction](https://help.dcipheranalytics.com/en/articles/4230745-keyword-based-content-extraction.md): Extract Content by Keyword extracts sentences containing specified keywords as well as a user-specified number of surrounding sentences.
- [Keyword extraction](https://help.dcipheranalytics.com/en/articles/4230803-keyword-extraction.md): The Extract Keywords operation identifies and extracts a set of keywords that best describe each input text.
- [Quotation extraction](https://help.dcipheranalytics.com/en/articles/4231218-quotation-extraction.md): Use the Extract Quotations operation to extract quotations from text.
- [Date extraction](https://help.dcipheranalytics.com/en/articles/4231166-date-extraction.md): Extract Dates is an operation that identifies and extracts dates from text.
- [Property extraction by pattern](https://help.dcipheranalytics.com/en/articles/4231195-property-extraction-by-pattern.md): Extract Properties by Pattern is used to extract properties from text based on user-specified patterns in the form of regular expressions.
- [Duplicate extraction](https://help.dcipheranalytics.com/en/articles/4231160-duplicate-extraction.md): The Extract Duplicates operation extracts duplicate values.
- [Coreference resolution](https://help.dcipheranalytics.com/en/articles/5716751-coreference-resolution.md): Finds all expressions that refer to the same entity in a text.
- [Entity extraction & linking](https://help.dcipheranalytics.com/en/articles/5716746-entity-extraction-linking.md): Detects entities and links them to entities stored in knowledge bases.
- [Score text](https://help.dcipheranalytics.com/en/articles/5652844-score-text.md): Assigns numerical values to texts based on syntactic or semantic similarity
- [Training and deployment of custom text classifiers with Dcipher Analytics](https://help.dcipheranalytics.com/en/articles/4170768-training-and-deployment-of-custom-text-classifiers-with-dcipher-analytics.md): Train custom text classifiers on unlabeled or partially labeled data using the Active Learning approach.
- [Classify text \(zero-shot\)](https://help.dcipheranalytics.com/en/articles/5652835-classify-text-zero-shot.md): Predicts labels using BART-based zero-shot classifiers without requiring training a text classifier beforehand.
- [Tag by rule](https://help.dcipheranalytics.com/en/articles/5602788-tag-by-rule.md): Tags values in the selected field based on the defined keyword-based boolean criteria.
- [Sentiment analysis](https://help.dcipheranalytics.com/en/articles/4230792-sentiment-analysis.md): The Analyze Sentiment operation analyzes the sentiment of input text through deep learning or sentiment lexicons.
- [Emojization](https://help.dcipheranalytics.com/en/articles/4230853-emojization.md): The Emojize operation interprets the text and outputs the emojis that best capture the emotional nuances expressed.
- [Topic modeling](https://help.dcipheranalytics.com/en/articles/4230764-topic-modeling.md): Use Detect Topics to identify topics in large volumes of unlabeled text.
- [Concept detection](https://help.dcipheranalytics.com/en/articles/4231220-concept-detection.md): The Detect Concepts operation finds the underlying concepts in the input text.
- [Language detection](https://help.dcipheranalytics.com/en/articles/4231209-language-detection.md): The Detect Language operation detects the language of each input text and outputs the corresponding ISO 639-1 \(2-letter\) language code.
- [Text-level machine translation](https://help.dcipheranalytics.com/en/articles/4230847-text-level-machine-translation.md): The Translate Text operation uses Google Translate to machine translate the input text.
- [Word-level machine translation](https://help.dcipheranalytics.com/en/articles/4230778-word-level-machine-translation.md): Translate Words translates between any pair of 58 available languages, enabling multi-language analysis without full text-level translation.
- [Knowledge extraction](https://help.dcipheranalytics.com/en/articles/5577720-knowledge-extraction.md): Enrich your data by extracting knowledge in the form of triplets
- [Third-party NLP services](https://help.dcipheranalytics.com/en/articles/4230871-third-party-nlp-services.md): Provides access to third-party text enrichment services such as categorization and emotion recognition.
- [Text vectorization](https://help.dcipheranalytics.com/en/articles/4230888-text-vectorization.md): The Vectorize Text operation transforms text into mathematical vector representations.
- [Vector reduction](https://help.dcipheranalytics.com/en/articles/4230900-vector-reduction.md): Reduces the dimensionality of a multidimensional vector space, for example used to represent text or words, onto a lower dimensional space.
- [Vector classification](https://help.dcipheranalytics.com/en/articles/5860743-vector-classification.md): "Classify vectors" operation enables training Machine Learning classifiers and getting predictions from the trained models
- [Vector regression](https://help.dcipheranalytics.com/en/articles/5863113-vector-regression.md): "Apply regression on vectors" operation enables training Machine Learning regressors and getting predictions from the trained models
- [Pivoting data for descriptive statistics in the Table View](https://help.dcipheranalytics.com/en/articles/4319325-pivoting-data-for-descriptive-statistics-in-the-table-view.md): Group and aggregate data to generate descriptive statistics through drop zones in the Table View.
- [Applying Pythonic formula](https://help.dcipheranalytics.com/en/articles/4230816-applying-pythonic-formula.md): The Apply Pythonic Formula operation applies a custom formula using Python syntax.
- [Discretization](https://help.dcipheranalytics.com/en/articles/5832683-discretization.md): "Discretize" operation transforms continuous values into discrete counterparts
- [Normalizing numeric values](https://help.dcipheranalytics.com/en/articles/5832806-normalizing-numeric-values.md): "Normalize" operation adjust values measured on different scales to a notionally common scale.
- [Creating a word cloud from text](https://help.dcipheranalytics.com/en/articles/4298835-creating-a-word-cloud-from-text.md): Generate a word cloud to get a quick overview of the content of your text.
- [Mapping word clusters through contextual word clouds](https://help.dcipheranalytics.com/en/articles/4301872-mapping-word-clusters-through-contextual-word-clouds.md): Cluster words based on co-occurrence to generate a contextual word cloud, providing a visual map of topics.
- [Exploring topics through foam charts](https://help.dcipheranalytics.com/en/articles/4641380-exploring-topics-through-foam-charts.md): Use foam charts to visually explore topics in text.
- [Document landscaping](https://help.dcipheranalytics.com/en/articles/4172464-document-landscaping.md): Organize texts based on their semantic similarity to visually explore and identify themes in text.
- [Finding overrepresented values](https://help.dcipheranalytics.com/en/articles/4172429-finding-overrepresented-values.md): Find out what is over-represented in a subset of the data compared to the whole.
- [Creating a bump chart](https://help.dcipheranalytics.com/en/articles/4635454-creating-a-bump-chart.md): Use bump charts to visualize change over time.
- [Creating a matrix](https://help.dcipheranalytics.com/en/articles/4640099-creating-a-matrix.md): Calculate relationships between two sets of values and display them in grid format using the Matrix Chart.
- [Creating a bar chart](https://help.dcipheranalytics.com/en/articles/4172215-creating-a-bar-chart.md): Use bar charts to display categorical data and corresponding quantities.
- [Creating a scatter plot](https://help.dcipheranalytics.com/en/articles/4172201-creating-a-scatter-plot.md): Use a scatter plot to display data along two dimensions.
- [Export landscapes as Miro boards](https://help.dcipheranalytics.com/en/articles/6842306-export-landscapes-as-miro-boards.md): Easily export text landscapes as Miro boards for further collaboration
- [Save and re-run pipelines & re-use models](https://help.dcipheranalytics.com/en/articles/5577702-save-and-re-run-pipelines-re-use-models.md): Create and save pipelines to automize your repetitive analyses and increase efficiency.
- [Content analysis of free-form survey responses](https://help.dcipheranalytics.com/en/articles/4924967-content-analysis-of-free-form-survey-responses.md): Detect topics and analyze sentiment in free-form text responses in surveys.
- [Dcipher basics](https://help.dcipheranalytics.com/en/articles/5157708-dcipher-basics.md): This article contains video tutorials about Dcipher basics such as importing data, using workbenches, applying operations etc.

## Choosing the right workflow

- [How to choose the right workflow](https://help.dcipheranalytics.com/en/articles/8311586-how-to-choose-the-right-workflow.md): Choosing the right workflow from Workflow Store

## Use case guides

- [How to make the most of the Insight Booster Toolkit](https://help.dcipheranalytics.com/en/articles/8304834-how-to-make-the-most-of-the-insight-booster-toolkit.md)
- [How to integrate a Dcipher Research Bot into your website or application](https://help.dcipheranalytics.com/en/articles/8304811-how-to-integrate-a-dcipher-research-bot-into-your-website-or-application.md)
- [How to analyze free-form survey responses using AI](https://help.dcipheranalytics.com/en/articles/8304929-how-to-analyze-free-form-survey-responses-using-ai.md)
- [How to conduct AI-powered content analysis](https://help.dcipheranalytics.com/en/articles/8523312-how-to-conduct-ai-powered-content-analysis.md)
- [How to listen to online consumer conversations](https://help.dcipheranalytics.com/en/articles/8402201-how-to-listen-to-online-consumer-conversations.md)
- [How to leverage AI for horizon scanning](https://help.dcipheranalytics.com/en/articles/8539934-how-to-leverage-ai-for-horizon-scanning.md)
- [How to train a knowledge bot for knowledge management](https://help.dcipheranalytics.com/en/articles/8539941-how-to-train-a-knowledge-bot-for-knowledge-management.md)
- [AI-powered news summarization](https://help.dcipheranalytics.com/en/articles/8539947-ai-powered-news-summarization.md)
- [How to run a content landscaping workflow](https://help.dcipheranalytics.com/en/articles/8897744-how-to-run-a-content-landscaping-workflow.md)
- [How organizations use Dcipher Analytics’ tools to enhance their productivity](https://help.dcipheranalytics.com/en/articles/8890332-how-organizations-use-dcipher-analytics-tools-to-enhance-their-productivity.md)

## About Dcipher Analytics

- [What functionality does Dcipher Analytics offer?](https://help.dcipheranalytics.com/en/articles/4231350-what-functionality-does-dcipher-analytics-offer.md): Whatever your text analytics needs are, Dcipher Analytics has you covered.
- [What is the technology behind Dcipher Analytics?](https://help.dcipheranalytics.com/en/articles/4231379-what-is-the-technology-behind-dcipher-analytics.md): Intro to Dcipher Analytics' systems architecture, AI & NLP frameworks, the Dcipher Analytics Query Language, and visual analytics approach.
- [What languages can Dcipher Analytics be used for?](https://help.dcipheranalytics.com/en/articles/4230910-what-languages-can-dcipher-analytics-be-used-for.md): An overview of the languages supported by each NLP feature.
- [Single Sign-On](https://help.dcipheranalytics.com/en/articles/8775689-single-sign-on.md): With SAML-based single sign-on \(SSO\), users can access Dcipher Analytics by their preferred identity provider \(IdP\).

## Knowledge Bases API

- [Accessing Knowledge Base Metadata](https://help.dcipheranalytics.com/en/articles/13604805-accessing-knowledge-base-metadata.md): Before filtering or analyzing documents, use this endpoint to understand the metadata schema—the specific fields, data types, and allowed values present in your Knowledge Base.
- [Fetching Documents from your Knowledge Base](https://help.dcipheranalytics.com/en/articles/13604746-fetching-documents-from-your-knowledge-base.md): This article provides the technical specifications for retrieving documents from Knowledge Bases via the public API.