Uncover Powerful Insights with NLP Analytics for Microsoft Teams
Leverage AI to unlock key information hidden in your Microsoft Teams channel messages
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Your Team’s True Potential?
Leverage our cognitive analytics for Microsoft Teams to make informed decisions, streamline your communication, and foster a more engaging, productive and safe collaborative environment.
Languages Used in Messages
This report provides insights into the language usage within Teams. By applying filters, such as English, you can ascertain the sentiment of messages specifically in that language.
Messages Sentiment Ratio
The sentiment ratio in Microsoft Teams messages provides valuable insights into the overall sentiment within the team or organization. It helps gauge satisfaction, identify areas of improvement, monitor sentiment trends, and address concerns and allow teams to drive positive engagement and make data-driven decisions.
Messages Sentiment trend
Tracking sentiment in Teams messages allows organizations to recognize changing attitudes, swiftly address concerns, and enhance collaboration. Analyzing these trends aids in proactive intervention during negative shifts, ensuring a positive work environment. This is vital for informed decision-making and fostering strong team dynamics.
Breakdown in Percentages
This report presents the breakdown of messages in specific threads based on their sentiment, distinguishing between positive, negative, and neutral quantities.
Key Phrases in Messages
The purpose of this report is to emphasize the prominent phrases that reflect the most discussed topics in Teams and their corresponding positive or negative sentiment.
Key Phrases in Messages
The purpose of this report is to emphasize the prominent phrases that reflect the most discussed topics in Teams and their corresponding positive or negative sentiment.Languages Used in Messages
This report provides insights into the language usage within Teams. By applying filters, such as English, you can ascertain the sentiment of messages specifically in that language.Messages Sentiment Ratio
The sentiment ratio in Microsoft Teams messages provides valuable insights into the overall sentiment within the team or organization. It helps gauge satisfaction, identify areas of improvement, monitor sentiment trends, and address concerns and allow teams to drive positive engagement and make data-driven decisions.Messages Sentiment trend
Tracking sentiment in Teams messages allows organizations to recognize changing attitudes, swiftly address concerns, and enhance collaboration. Analyzing these trends aids in proactive intervention during negative shifts, ensuring a positive work environment. This is vital for informed decision-making and fostering strong team dynamics.Breakdown in Percentages
This report presents the breakdown of messages in specific threads based on their sentiment, distinguishing between positive, negative, and neutral quantities.CardioLog Analytics’ NLP analytics can provide several benefits for Microsoft Teams:
CardioLog Analytics utilizes Azure Cognitive Services to enhance our analytics capabilities within Microsoft Teams. By leveraging Azure Cognitive Services, CardioLog Analytics can tap into advanced AI capabilities such as natural language processing (NLP) and sentiment analysis. These services enhance the analytics capabilities of CardioLog by enabling more accurate and insightful analysis of Teams content, user behavior, sentiment trends, and other relevant data. The integration of Azure Cognitive Services with CardioLog Analytics allows organizations to leverage the power of AI to extract valuable insights and make data-driven decisions within Microsoft Teams.
Chat Analysis
NLP analytics can analyze public communications in public team channels within Microsoft Teams to extract insights and identify patterns. This can help monitor team communication, identify trends, and provide feedback on conversation quality and collaboration dynamics.
Unearth Key Phrases and Themes
Dive deep into your team’s communication and unearth key phrases and themes that guide your conversations. Our advanced cognitive analytics technology sifts through your Teams channel messages, extracting significant points and keywords to help you better understand your team’s focus and interests.
Detect and Understand Multilingual Conversations
CardioLog Analytics’ NLP analytics employ sophisticated data detection and categorization techniques to ascertain the languages utilized within the data. This enables organizations to determine and analyze the specific language usage patterns present in their datasets.
Sentiment Analysis
By applying sentiment analysis techniques, NLP analytics can analyze the sentiment expressed in Teams content such as chat messages or team discussions. This can help understand the overall mood of the team, identify potential issues, and take proactive measures to address them.
Decision Making
Natural Language Processing for Microsoft Teams aids decision-making by analyzing sentiment, summarizing information, identifying key entities, facilitating knowledge discovery, and enabling quick search and retrieval of relevant information. These capabilities enhance understanding, promote collaboration, and ensure decisions are well-informed and data-driven.
Protect and Detect Sensitive data (PII)
With our cognitive analytics solution, safety comes first. By leveraging Azure AI services it allows identifying of and flagging Personally Identifiable Information (PII) shared in the Teams channel messages, ensuring your team’s private information stays private, and helping your organization maintain compliance with privacy regulations.
Three Key PII Reports
PII Decection by category
CardioLog Analytics can identify Teams with PII by category which provides companies a way to effectively manage data risks, enforce appropriate access controls, ensure compliance, and respond efficiently to any security incidents or breaches involving PII.
PII Decections by Entity Type
CardioLog Analytics provides PII by entity type to enhance data governance, strengthen security controls, comply with regulatory requirements, and streamline various aspects of data management and protection.
Posts & Discussions with PII Detections
CardioLog Analytics also has the capability to highlight conversations containing Personally Identifiable Information (PII) violations and even apply filters based on violation types, such as credit card information. This allows for further breakdown and analysis by various attributes, such as country, city, department, or job title. By doing so, we can effectively address these violations and ensure that the involved parties are fully aware of the privacy policies in place.
How it works
How NLP Analytics helps you to optimize Teams performance
NLP, or Natural Language Processing, is a branch of AI that focuses on teaching computers to understand and generate human language. It involves several steps, including preprocessing text, analyzing its grammatical structure and meaning, utilizing machine learning models, and applying these models to tasks like chatbots, translation, and sentiment analysis. Recent advancements in deep learning, such as transformers, have significantly enhanced the effectiveness of NLP techniques, leading to improved language understanding and generation capabilities.
CardioLog Analytics’ NLP analytics can augment Microsoft Teams with advanced language understanding and analysis capabilities, fostering improved collaboration, knowledge sharing, and user engagement within the platform.
Clients
Pricing
Small
$100/mo
- Email, SMS, mobile push, web push, webhook, automated phone calls
- 1,000 users
- 10,000 messages
- $0.12 per 1,000 messages
Medium
$300/mo
- Email, SMS, mobile push, web push, webhook, automated phone calls
- 10,000 users
- 100,000 messages
- $0.12 per 1,000 messages
Large
$1000/mo
- Email, SMS, mobile push, web push, webhook, automated phone calls
- 25,000 users
- 250,000 messages
- $0.12 per 1,000 messages
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