Find key phrases in your daily research
Collect meaningful phrases from research you submit for the daily pass, with Notis handling the repeatable analysis.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Extract Phrases from Text
The extractphrases action extracts meaningful phrases from input text using textrazor's phrase extraction capability. it analyzes text to identify important phrases and multi-word expressions that aid in tasks like content analysis, keyword extraction, and summarization.
Why this helps
Research fragments spread across the day can be costly to revisit when the next task depends on them.
- Extract important phrases from text submitted for the scheduled run.
- Make research themes more searchable in later review.
- Add a dependable daily pass without another manual tool switch.
Setup
Build it in a few focused steps.
- 1Connect Gemini and TextRazor to Notis once in the portal.
- 2Create an automation in the portal or describe the daily outcome to Notis.
- 3Write one plain-language instruction to extract meaningful phrases from submitted Gemini research.
- 4Select a daily schedule and a channel for run reports.
- 5Test the run with a representative research excerpt.
Questions about this workflow
Does the schedule pull research from Gemini by itself?
The available setup has no Gemini trigger event. Supply the text to the scheduled automation's context or through an incoming webhook.
Does phrase extraction write a summary?
No. It returns meaningful phrases and expressions from the submitted text.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Gemini to Textrazor. A trigger fires from one place; an action lands in another.
Gemini triggers
Textrazor actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Get Account Information
This tool retrieves comprehensive information about a textrazor account, providing essential details about the account's status, usage, and limits. it returns an account object containing properties such as the current subscription plan, concurrent request limits, and daily usage among others, making it crucial for monitoring api usage, managing requests, and ensuring compliance with subscription limits.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Classify Text
This tool will classify text into predefined categories using textrazor's classification capabilities. it takes input text, optional cleanup mode and language, and returns a list of relevant categories with their confidence scores from the analysis. the tool supports various built-in classifiers including: - textrazor iab: iab qag segments - textrazor iab content taxonomy 3.0: iab content taxonomy v3.0 (2022) - textrazor mediatopics 2023q1: latest iptc media topics (march 2023) - and other versions of these taxonomies
Manage Custom Classifiers
This tool manages custom classifiers in textrazor, allowing users to create, update, and manage custom classification categories.
Analyze Dependency Trees
The dependencytreesaction analyzes the grammatical relationships between words in text by creating dependency trees. it provides detailed syntactic analysis by identifying the grammatical relationships between words and their parent words in a sentence. this tool is useful for: - understanding sentence structure - analyzing grammatical relationships - parsing complex sentences - supporting advanced linguistic analysis tasks
Dictionary Manager
The textrazor dictionary manager tool allows users to create, update, and manage custom entity dictionaries in textrazor. it provides endpoints for creating/updating dictionaries, listing dictionaries, getting a specific dictionary, and deleting dictionaries, as well as managing the entries within these dictionaries (adding, retrieving, and deleting entries).
Extract Entailments from Text
This tool extracts entailments from text using textrazor's api. it identifies words or phrases that can be logically inferred from the given text by analyzing logical implications and relationships.
Extract Named Entities from Text
Extract named entities (people, places, companies, etc.) from text using textrazor's entity extraction api. the tool will identify and classify named entities within the provided text, returning detailed information about each entity including its type, confidence score, and relevance score.
Extract Phrases from Text
The extractphrases action extracts meaningful phrases from input text using textrazor's phrase extraction capability. it analyzes text to identify important phrases and multi-word expressions that aid in tasks like content analysis, keyword extraction, and summarization.
Connect any two apps with Notis in the middle.
Gemini and Textrazor, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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