The input array has a shape of (300,) which cannot be mapped to the dataset word vectors.
Could not broadcast input array from shape (300,) into shape when mapping FastText word vectors with word in the dataset
In Natural Language Processing (NLP), word embeddings are used to represent words in the form of dense vectors that capture the meaning of the word in a multidimensional space. FastText is a popular word embedding technique that is based on the morphological structure of words, making it particularly useful for languages with complex word forms. However, when mapping FastText word vectors with words in the dataset, one may encounter an error message stating "Could not broadcast input array from shape (300,) into shape".