Janome

Collect Japanese social media posts.

Tokenize the posts using Janome.

Assign sentiment scores to each token based on a sentiment lexicon.

Aggregate the sentiment scores to determine the overall sentiment of the post.

Index Japanese documents using Janome to extract keywords.

Tokenize search queries using Janome.

Match the query tokens with the indexed keywords.

Rank the documents based on the relevance of the matched keywords.

Tokenize Japanese text using Janome.

Perform part-of-speech tagging to identify grammatical structures.

Lemmatize the tokens to reduce morphological variations.

Feed the preprocessed text to the machine translation engine.

Tokenize the article text using Janome.

Filter out stop words and common particles.

Calculate the frequency of each remaining token.

Rank the tokens based on their frequency and select the top N keywords.

Tokenize the text using Janome.

Use part-of-speech tagging to identify potential named entities.

Apply rule-based or machine learning models to classify the entities.

Extract the identified named entities and their categories.