Extracting data from the Web using scripts (web scraping) is widely used today for numerous purposes. One of the parts of this process is downloading actual text from urls. This will be the topic of this post. We will consider how it can be done using the following case examples: Extracting information from visited links … Read more
In this post (and few following posts) we will look how to get interesting information by extracting links from results of Twitter search by keywords and using machine learning text mining. While there many other posts on the same topic, we will cover also additional small steps that are needed to process data. This includes … Read more
In this post we will look at using ELMo for computing similarity between text documents. Elmo is one of the word embeddings techniques that are widely used now. In the previous post we used TF-IDF for calculating text documents similarity. TF-IDF is based on word frequency counting. Both techniques can be used for converting text … Read more
Despite of the appearance of new word embedding techniques for converting textual data into numbers, TF-IDF still often can be found in many articles or blog posts for information retrieval, user modeling, text classification algorithms, text analytics (extracting top terms for example) and other text mining techniques. In this text we will look what is … Read more