I will do arabic and english nlp and sentiment analysis in python

Arabic text is hard: dialects, mixed scripts, emojis and inconsistent spelling. As a native Arabic speaker and data scientist, I build NLP solutions that actually understand your Arabic and English text.

What I can do:

- Sentiment analysis (positive / negative / neutral) for reviews, tweets and customer feedback

- Text classification into your own categories (complaints, topics, intents)

- Arabic text cleaning and normalization (diacritics, letter variants, dialect noise)

- Customer complaint analysis with clear charts and insights

- A reusable Python model you can run on new data

Recent result:

- Arabic sentiment classifier on 20,000 Saudi telecom tweets (AraCust): macro-F1 0.914 on held-out data, beating a word-level baseline

About me: AI Engineering Intern at Kawkab, an applied AI firm building bilingual Arabic/English AI products for MENA enterprises. Computer Engineering graduate with a 660-hour Data Science and ML bootcamp.

Please message me before ordering with a sample of your text and the labels you need, so I can confirm the right package.