DiscoverText

DiscoverText

Texifter
+
+

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About

We designed Bot Sentinel to be simple to use and as informative as possible. We publicly display detailed information about Twitter accounts the platform is tracking to give visitors of this website a better understanding of how nefarious accounts spread disinformation and target other accounts. We try to be as transparent as possible and give visitors as many data points as possible. Bot Sentinel is a non-partisan platform; we track all accounts. The platform uses machine learning and artificial intelligence to classify Twitter accounts and add the accounts to a publicly available database that anyone can browse. We trained Bot Sentinel to classify Twitter accounts using thousands of accounts and millions of tweets for our machine-learning model. The system can correctly classify accounts with an accuracy of 95%. Unlike other machine learning tools designed to detect “bots,” we are focusing on specific behaviors and activities deemed inappropriate by Twitter rules.

About

Collaborative text analytics for human and machine-learning. We provide dozens of multilingual, text mining, data science, human annotation, and machine-learning features. DiscoverText offers a range of simple to advanced cloud-based software tools empowering users to quickly and accurately evaluate large amounts of text data. Our customers sort unstructured free text common in market research, as well as associated metadata, also found in customer feedback platforms, CRMs, chats, email, large scale HR or other surveys, public comment to government agencies, Twitter, RSS feeds, and other forms of text data. Find out why we are ranked #1 for text, metadata, and social network analysis support and trusted by hundreds of academic research groups. Our machine-learning sifters are created in hours or just a few minutes using crowdsourcing. We offer an API and support technical integrations with Twitter and SurveyMonkey.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Individuals looking for an application for Twitter that identifies inauthentic accounts and toxic trolls using machine learning and artificial intelligence

Audience

Anyone who needs a text analysis data science software to quickly and accurately evaluate large amounts of text data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Bot Sentinel
botsentinel.com

Company Information

Texifter
Founded: 2009
United States
discovertext.com

Alternatives

Alternatives

BytesView

BytesView

Algodom Media
SAS Text Miner

SAS Text Miner

SAS Institute

Categories

Categories

Text Mining Features

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Integrations

X (Twitter)
SurveyMonkey
WordPress

Integrations

X (Twitter)
SurveyMonkey
WordPress
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