Hottest Sentiment Analysis models (Subcategory)

Top Hottest 14 Models for Sentiment Analysis · 7/12/2025

Sentiment Analysis is a subcategory of AI models that determines the emotional tone or attitude conveyed by a piece of text, such as a review, tweet, or comment. Key features include natural language processing (NLP), machine learning algorithms, and linguistic analysis. Common applications include customer feedback analysis, social media monitoring, and opinion mining. Notable advancements include the development of deep learning-based models, such as recurrent neural networks (RNNs) and transformers, which have improved accuracy and enabled more nuanced sentiment detection, including the ability to recognize sarcasm and irony.

Xlm Roberta Large

Multilingual Language Model

Bert Base Multilingual Uncased

Multilingual text model

Xlm Roberta Base

Multilingual transformer

Distilbert Base Uncased

Efficient BERT model

Roberta Large

Pretrained language model

Llama 3.1 405B Instruct FP8

Quantized Llama 3.1

Distilbert Base Uncased Finetuned Sst 2 English

SST-2 sentiment analysis

Lobotollama 368b Base

Pruned language model

T5 Small

Unified text-to-text model

Bert Base Cased

Case-sensitive BERT

Distilgpt2

Distilled GPT2 model

Camembert Base

French language model

Twitter Roberta Base Sentiment Latest

Twitter Sentiment Analysis

Deberta V3 Large

Efficient NLU model

Discover the Latest Sentiment Analysis Models

Featuring the Latest AI Models in the Field

Granite Guardian 3.0 2b

Risk detection model

Prompt Task And Complexity Classifier

Prompt classifier model

FitReccomendation

Fitness recommendation model

CSTinyLlama 1.2B

Czech language model