In this article, a sentiment analysis is conducted through the lens of Harry Potter. I am a self-confessed Harry Potter devotee. I've read the books multiple times and watched the films more times than I can count. The lines of each characters in the movies are rich in emotionally charged experiences that the reader can viscerally feel. Can a computer capture that feeling? Let's check it out!

In Python, there are several choices of modules for morphological analysis. There are several types of kuromoji such as Janome, Juman, MeCab, and Esanpy, but this time we will use MeCab, which is said to be relatively fast and accurate.

The development of elec-tronic business is accelerated by the popularity of the internet. Millions of people buy products and post their reviews online. Public opinion analysis can be used with these reviews. Customers can make better decisions after reading other people's product reviews. There is a pressing need for building the system which can perform the sentiment classification job. In this article, I'll try to build a sentiment anaylsis model for Japanese customer reviews.

I'm trying to implement neural network from scratch in Python recently. Considering to solve multi-class classification problem using neural network, I try to create a simple neural network. The most important thing in neural network is backpropagation. Backpropagation is an algorithm for supervised learning of artificial neural networks using gradient descent. I want to find the derivation of cross-entropy loss function with softmax activation function, so this article will record the formula I calculated. As for the rest, I will discuss it in the future.

Viterbi Algorithm is usually used to find the most likely sequence in HMM. It is now also commonly used in speech recognition, speech synthesis, diarization, keyword spotting, computational linguistics, and bioinformatics. This semester, in the course "Speech Technology", the acoustic signal is treated as the observed sequence of events, and a string of text is considered to be the hidden cause of the acoustic signal in speech recognition task. The Viterbi algorithm finds the most likely string of text given the acoustic signal.

Tic-tac-toe is a paper-and-pencil game for two players, X and O, who take turns marking the spaces in a 3×3 grid. The player who succeeds in placing three of their marks in a diagonal, horizontal, or vertical row is the winner. It is a solved game with a forced draw assuming best play from both players. In this article, I want to discuss whether there's a must-win strategy for this game.