Text Preprocessing with Python/

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Text Tokenization

Text Tokenization

Learn about character, word, and sentence tokenization techniques.

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Character tokenization

Character tokenization is a text transformation technique that divides text into individual or group characters. Unlike other types of tokenization that split text into words or phrases, character tokenization treats each character as a separate token. This technique is essential when working with languages that do not use spaces between words or when analyzing text at a more granular level. For example, we use character tokenization in Chinese or Japanese to break down text into individual characters, which can help analyze the language’s structure and identify specific characters or patterns.

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main.py
reviews.csv
review_id,product_id,review,sentiment
rv1315,pd9943,"This product doesn't meet my needs. Its performance is inconsistent, and it frequently freezes or crashes.",Negative
rv1597,pd6658,"This product has exceeded my expectations in every way. Its sleek design, seamless functionality, and exceptional performance make it a must-have for any tech enthusiast.",Positive
rv1987,pd8648,"I had high hopes for this product, but it failed to live up to its claims. It's unreliable and lacks essential features.",Negative
rv2087,pd9533,The customer support for this product is outstanding. The team goes above and beyond to ensure customer satisfaction.,Positive
rv2232,pd7270,"I'm deeply dissatisfied with this product. It constantly malfunctions, and the customer support has been unresponsive to my concerns. I regret purchasing it.",Negative
rv2982,pd3547,It's hard to imagine my work without this product. Its seamless integration and exceptional speed have significantly improved my productivity.,Positive
rv3035,pd7854,I'm disappointed with this product. It fell short of my expectations and didn't deliver the promised results.,Negative
rv3320,pd4651,This product simplifies my life in ways I never thought possible. Its intuitive interface and lightning-fast performance are a delight to use.,Positive
rv3796,pd5171,This product is overpriced for what it offers. I expected better quality and performance for the price.,Negative
rv4577,pd6384,"This product is a letdown. Its performance is subpar, and the build quality doesn't meet my standards.",Negative
rv4859,pd2544,"This product is a game-changer. Its exceptional build quality, impressive features, and reliability have transformed my experience.",Positive
rv849.,pd8001,"私は他の製品を試しましたが、性能と価格の面で優れた製品があります。これは比較において短所があります。",Negative
rv8969,pd5436,この製品のカスタマーサービスは失望です。彼らは助けにならず、私の懸念に対して反応しませんでした。,Negative
rv9055,pd8132,"この製品のクラフトマンシップには深く感銘を受けています。優れた結果を提供しながら、私のワークスペースにエレガンスを加えています。",Positive
rv9288,pd9093,"私はこの製品に本当に感銘を受けています。細部への注意、信頼性のあるパフォーマンス、包括的な機能により、競争から抜け出すことができます。これは間違いありません。",Positive
rv9524,pd3557,"この製品は失望です。約束された機能がなく、パフォーマンスも満足のいくものではありません。現状では誰にもお勧めしません。",Negative
rv9891,pd2537,"この製品には本当に興奮しています！洗練されたデザイン、強力なパフォーマンス、ユーザーフレンドリーなインターフェースで期待を超えました。",Positive

Let’s review the code line by line:

  • Line 1: We import the pandas library.

  • Line 3: We load data from the reviews.csv dataset.

  • Line 4: We then apply a function that converts each review text into a list of characters and save the result to the new ...

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