How to Improve Target Page Relevance Using LDA Cosine SimiLARITY Analysis

SEO Company Scotland , Various text similarity metrics exist such as cosine similarity, Jaccard similarity, and Euclidean distance. However, a recent study found that using an LDA model based on context and meaning gives the best performance. LDA is used to represent text documents into vector form. Mathematically, it measures the cosine of the angle between two vectors projected in multidimensional space. Keywords Cosine similarity is a metric for text similarity that determines whether two vectors are pointing in roughly the same direction. It is used in a number of different text analysis methods, including LDA. Unlike the Euclidean distance, cosine similarity is independent of the size of the vectors. This makes it ideal for comparing large data sets. Property management Dundee For example, let’s say you want to compare the topic distribution of three documents based on cricket players. Document A and Document B contain information about Sachin Tendulkar and Dhoni. Doc...