NLP-VectorSpaceModels:

We see how vector space models help to identify similar sentences with different words and also helps capture dependency between the words.

Similarity Metrics used :

1. Euclidean distance
2. Cosine Similarity
3. Manipulated word vectors to find the relationship between 2 words based on a given relationship. Eg : King - Man + Woman = Queen

Concepts covered:

• Word Embeddings Manipulation (Vector Space Model)
• Principal Component Analysis implementation
• Finding word analogies using different similarity metrics

Requirements

• Python 3.6.10
• Numpy 1.18.4
• Pandas 1.0.5
• Matplotlib 3.2.1
• NLTK 3.5
• Scikit-learn 0.23.1

Result:

Model accuracy : 92.0