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  5. HappyInsights — Turn feedback into valuable insights vs UBIAI

HappyInsights — Turn feedback into valuable insights vs UBIAI

OverviewComparisonAlternatives

Overview

UBIAI
UBIAI
Stacks2
Followers11
Votes0
HappyInsights — Turn feedback into valuable insights
HappyInsights — Turn feedback into valuable insights
Stacks0
Followers1
Votes1

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Detailed Comparison

UBIAI
UBIAI
HappyInsights — Turn feedback into valuable insights
HappyInsights — Turn feedback into valuable insights

It is an efficient and easy-to-use text annotation tool for Natural Language Processing (NLP) applications. With this, you can train an NLP model in few hours by collaborating with team members and using the machine learning auto-annotation feature.

HappyInsights is an AI-powered comment intelligence platform that helps YouTube creators get a clear handle on audience sentiment and lift engagement without getting bogged down in hours of manual analysis.

Multi-format document upload: TXT, CSV , JSON , PDF, DOC, HTML; Multilingual: English, French, German, Arabic, Spanish, etc…; Dictionary/Regex auto-annotation: input a list of words or regex patterns along with their associated entities. The tool will automatically scan the documents and auto-annotate; ML auto-annotation: Train an NER model to auto-annotate your documents; Bias detection: visualize entity and word distribution across your documents to detect skewed annotation toward specific entities. Collaboration: Share annotation tasks among team members and monitor progress; Annotation format export: JSON, IOB, Amazon Comprehend, Stanford CoreNLP
AI-powered sentiment analysis, Bulk reply to comments, Video comparison, Comments Agent
Statistics
Stacks
2
Stacks
0
Followers
11
Followers
1
Votes
0
Votes
1

What are some alternatives to UBIAI, HappyInsights — Turn feedback into valuable insights?

Buffer

Buffer

Buffer helps you manage multiple social media accounts at once. Quickly schedule content from anywhere on the web, collaborate with team members, and analyze rich statistics on how your posts perform.

rasa NLU

rasa NLU

rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

SpaCy

SpaCy

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

Social Champ

Social Champ

It is a social media management and scheduling automation software created to help users effectively manage all their social media-related operations, including post scheduling, performance analysis, and content management to mention some.

Speechly

Speechly

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

Syften

Syften

Real-time Social News Sifting. Get instant notifications about online discussions that you can participate in.

MonkeyLearn

MonkeyLearn

Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.

Jina

Jina

It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.

Swat.io

Swat.io

The Enterprise & Agency Solution for Content Planning, Community Management and Social Customer Service.

Sentence Transformers

Sentence Transformers

It provides an easy method to compute dense vector representations for sentences, paragraphs, and images. The models are based on transformer networks like BERT / RoBERTa / XLM-RoBERTa etc. and achieve state-of-the-art performance in various tasks.

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