Top 27+ Free Software for Text Analysis, Text Mining, Text Analytics: Review of Top 27 Free Software for Text Analysis, Text Mining, Text Analytics includingGeneral Architecture for Text Engineering ? GATE, RapidMiner Text Mining Extension, KH Coder, VisualText, Datumbox, TAMS, QDA Miner Lite, Carrot2, CAT, GATE, tm, Gensim, Natural Language Toolkit, Unstructured Information Management Architecture, OpenNLP, KNIME, Orange-Textable, LPU, Apache Mahout, Pattern, LingPipe, S-EM, LibShortText, Twinword, Apache Stanbol, Aika, Distributed Machine Learning Toolkit and Coh-Metrix.
Word embeddings are a modern approach for representing text in natural language processing. Embedding algorithms like word2vec and GloVe are key to the state-of-the-art results achieved by neural network models on natural language processing problems like machine translation. In this tutorial, you will discover how to train and load word embedding models for natural language ?
First, Try To Understand the Problem Statement. Second, Solve Code with Pen and Paper. Third, Then Write code and submit in the OJ to justify test cases. Fourth, If failed to AC then optimize your code to the better version. Fifth, After failed in 3rd time see my solution. Understnad the logic and implement by your own.
Please, don’t just copy-paste the code. It will kill your creativity 🙂