4me is an enterprise-class ITSM application built specifically for multinational organizations around Service Integration and Management (SIAM).

Text and natural language processing, including word and sentence tokenization, text classification and sentiment analysis, spelling correction, information extraction, and more.

issue-tracking time-tracking tier-1
generic tier-2

Notes

  • ID
    Request
    Person
    Text
    Medium
    Attachments
    Created At
  • Note Created

  • Look Up Note

  • Search Notes for a Request

Tasks

  • ID
    Anticipated Assignment At
    Assigned At
    Attachments
    Category
    Change
    Completion Target At
    Created At
    Finished At
    Impact
    Instructions
    Manager
    Member
    New Assignment
    Note
    Planned Duration
    Planned Effort
    Required Approvals
    Source
    Sourceid
    Start At
    Status
    Subject
    Supplier
    Supplier Requestid
    Team
    Template
    Updated At
    Urgent
    Waiting Until
    Work Hours Are 24x7
  • Task Created

  • Task Updated

  • Look Up Task

  • Search Tasks

Requests

  • ID
    Category
    Subject
    Service Instance
    Team
    Requested By
    Requested For
    Addressed
    Assignment Count
    Change
    Configuration Item
    Completed At
    Completion Reason
    Created By
    Downtime End At
    Downtime Start At
    Desired Completion At
    Grouping
    Impact
    Internal Note
    Knowledge Article
    Member
    New Assignment
    Next Target At
    Note
    Note Attachments
    Organization
    Problem
    Project
    Resolution Target At
    Response Target At
    Requester Resolution Target At
    Reviewed
    Satisfaction
    Source
    Sourceid
    Status
    Supplier
    Supplier Requestid
    Template
    Urgent
    Waiting Until
    Created At
    Updated At
  • Request Created

  • Request Updated

  • Create Request

  • Update Request

  • Look Up Request

  • Search Requests

Uploads

  • ID
    Uploads
  • Upload Files


Text

  • Apply Regular Expression

    Apply a regular expression on a text.

    You can use Pythex to test your regular expression.

  • Find All Matches to a Regex

    Apply a regular expression on a text and return all non-overlapping matches of the regex.

    You can use Pythex to test your regular expression.

Sentiment

  • Text
    The text to analyse.
    Polarity
    The sentiment polarity.
    Strength
    The sentiment strength.
    Language
    The detected language that the source text was written in.
  • Extract Sentiment

    Extract positive/negative sentiment from the given some text.