# Short Text Classification
Bert Spam Classification Model
MIT
This is an English spam SMS classification model fine-tuned from the bert-base-uncased model, capable of accurately distinguishing between spam and legitimate SMS messages.
Text Classification
Safetensors English
B
fzn0x
209
2
Learn Hf Food Not Food Text Classifier Distilbert Base Uncased
Apache-2.0
This is a text classification model fine-tuned on DistilBERT-base-uncased for distinguishing between food and non-food text content.
Text Classification
Transformers

L
mrdbourke
238
2
Distilbert Sentiment Analysis
MIT
A social media sentiment analysis model based on DistilBERT, capable of classifying text into non-negative and negative sentiment categories.
Text Classification
Transformers Supports Multiple Languages

D
DT12the
711
4
Offensivespeechdetector
Openrail
A Deberta-based text classification model for detecting offensive language in text, suitable for content moderation scenarios.
Text Classification
Transformers English

O
KoalaAI
244
2
Toutiao
MIT
A Chinese news classification model trained using the Toutiao dataset based on the PyTorch framework, suitable for Chinese text classification learning scenarios.
Text Classification
Transformers Chinese

T
myml
12.16k
10
Binary Classifier Conversion Intent 1.1 L12
This is a SetFit classification model based on the L12 SBERT model, designed for sentence similarity calculation and feature extraction.
Text Classification
Transformers

B
nayan06
14
0
Albert Sentiment
ALBERT pre-trained model fine-tuned for Traditional Chinese sentiment classification, supporting negative (0) and positive (1) sentiment classification.
Text Classification
Transformers Other

A
clhuang
217
4
Sdg Classifier Osdg
A machine learning model for classifying text according to the first 15 of the United Nations' 17 Sustainable Development Goals
Text Classification
Transformers English

S
jonas
44
8
Indonesia Bert Sentiment Classification
A sentiment classifier trained on the IndoBERT base model, supporting sentiment analysis for Indonesian text
Text Classification
Transformers

I
mdhugol
13.48k
22
ROBERTA Tweet Sentiment 50 2eps
A fine-tuned version of the Twitter RoBERTa base sentiment model for tweet sentiment analysis
Text Classification
Transformers

R
joe5campbell
16
0
BERT Tweet Sentiment 50k 5eps
Apache-2.0
A BERT-base-uncased fine-tuned Twitter sentiment analysis model trained on 50k data for 5 epochs, achieving 82.91% validation accuracy
Text Classification
Transformers

B
joe5campbell
14
0
Korean Sentiment
This is a model for sentiment analysis of Korean text, capable of determining the emotional tendency (positive/negative) of the text.
Text Classification
Transformers

K
matthewburke
3,049
17
Bertweet Base SNS BRANDS 50k
A sentiment analysis model fine-tuned on social media brand datasets based on BERTweet
Large Language Model
Transformers

B
haji2438
31
0
Distilbert Base Uncased Finetuned Clinc
Apache-2.0
This model is a text classification model fine-tuned on the clinc_oos dataset based on DistilBERT, primarily used for intent recognition tasks.
Text Classification
Transformers

D
msavel-prnt
15
0
Roberta Base Indonesian 1.5G Sentiment Analysis Smsa
A sentiment analysis model fine-tuned on the Indonesian RoBERTa model, achieving 92.6% accuracy on the indonlu dataset
Text Classification
Transformers Other

R
ayameRushia
44
4
Roberta Base Rotten Tomatoes
This model is based on the roberta-base architecture, fine-tuned on the rotten_tomatoes movie review dataset using TextAttack for text classification tasks in sentiment analysis.
Text Classification
R
textattack
192
1
BERT Tweet Sentiment 100 2epochs
Apache-2.0
BERT-base-uncased fine-tuned tweet sentiment analysis model, trained for 2 epochs
Text Classification
Transformers

B
joe5campbell
14
0
Indobert Base Uncased Finetuned Indonlu Smsa
MIT
This model is a text classification model fine-tuned on the indonlu dataset based on indobert-base-uncased, specifically designed for Indonesian language sentiment analysis tasks.
Text Classification
Transformers Other

I
ayameRushia
31
0
IMDB URDUSENTIMENT MODEL
Apache-2.0
This is a sentiment analysis model built based on the IMDB Urdu dataset, trained using the DistilBertForSequenceClassification method.
Text Classification
Transformers English

I
Sakil
15
0
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