SentimentAI | iPhone 15 vs Galaxy S24 Analysis

Single Review Analysis

Analyze Sentiment

Enter any review text to get instant sentiment prediction with confidence scores

0/1000

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Enter a review and click analyze to see results

Technology Stack

Built with cutting-edge NLP and Machine Learning technologies

Tokenization, stopword removal, and text normalization using NLTK for clean input data.

Convert text to numerical features using Term Frequency-Inverse Document Frequency with unigrams and bigrams.

Multi-class classification with probability scores for transparent predictions.

Word2Vec and FastText models capture semantic relationships between words.

Support Vector Machines for robust classification with embedding features.

Compare 4 different models for comprehensive sentiment analysis.

Model A: TF-IDF (Unigram) + LR

70%

Model B: TF-IDF (Bigram) + LR

70%

Model C: Word2Vec + SVM

71%

Model D: FastText + SVM

70%