# Labelf Reviews
**Vendor:** Labelf  
**Category:** [Text Analysis Software](https://www.g2.com/categories/text-analysis)  
**Average Rating:** 3.5/5.0  
**Total Reviews:** 1
## About Labelf
Labelf is a no code AI text classification tool that let's you train the latest and greatest AI models in an afternoon based on your own data. The most popular use case is to interpret, analyze and automate customer support workflows based on calls, mail or chats. This gives you an advantage to understand what it is that drives a negative customer experience. The AI models works on 100+ languages and you can use the same model for multiple languages at the same time.




## Labelf Reviews
  ### 1. Fast and easy text automation

**Rating:** 3.5/5.0 stars

**Reviewed by:** Mohammed M. | Client Services Executive, Small-Business (50 or fewer emp.)

**Reviewed Date:** November 29, 2022

**What do you like best about Labelf?**

Fast and easy text automation in no time

**What do you dislike about Labelf?**

as of now nothing everything is perfect and easy to be used

**What problems is Labelf solving and how is that benefiting you?**

It helps in implemanting our own NLP Models, takes less time also allows you to go from unlabeled data to production ready text classification models blazingly fast.



- [View Labelf pricing details and edition comparison](https://www.g2.com/products/labelf/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-18+12%3A54%3A19+-0500&secure%5Bsession_id%5D=cbd27cbb-4a56-44f6-a712-156b2ee63c55&secure%5Btoken%5D=ddd344602893ded42e0b53bb31d816418fc37647ad83b79de44720d5d7405415&format=llm_user)

## Labelf Features
**Setup**
- Integration
- Maintenance
- No-Code

**Data**
- Security
- Data Visualization

**Analysis**
- Automation
- Named entity recognition
- Keyphrase Extraction
- Topic Analysis
- Sentiment Analysis
- Language Identification
- Syntax/Part of Speech Parsing

**Customization**
- Pre-Built Parameterization
- Custom Extension
- Compositionality

**Generative AI**
- AI Text Generation
- AI Text Summarization

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