Text from image (OCR) A bot that extract text from images using the Tesseract OCR. Usage What do I need? A AWS key configured locally, see here. NodeJS. I tested with v8.9.0. A Telegram account. Installing # Install the Serverless Framework $ npm install serverless -g # Install the necessary plugins $ npm install # Get a bot from Telegram, sending this message to @BotFather $ /newbot # Put the token received into a file called serverless.env.yml, like this $ […]

ChirpText ChirpText is a collection of text processing tools for Python 3. It is not meant to be a powerful tank like the popular NTLK but a small package which you can pip-install anywhere and write a few lines of code to process textual data. Simple file data manipulation using an enhanced open() function (txt, gz, binary, etc.) CSV helper functions Parse Japanese text with mecab library (Does not require mecab-python3 package even on Windows, only a binary release (i.e. […]

keytotext Idea is to build a model which will take keywords as inputs and generate sentences as outputs. Model: Keytotext is based on the Amazing T5 Model: k2t: Model k2t-tiny: Model k2t-base: Model mrm8488/t5-base-finetuned-common_gen (by Manuel Romero): Model Training Notebooks can be found in the Training Notebooks Folder Note: To add your own model to keytotext Please read Models Documentation Usage: Example usage: Example Notebooks can be found in the Notebooks Folder pip install keytotext UI: UI: pip install streamlit-tags […]

Charset Normalizer Library that help you read text from unknown charset encoding. Project motivated by chardet, I’m trying to resolve the issue by taking another approach. All IANA character set names for which the Python core library provides codecs are supported. Introduction This library aim to assist you in finding what encoding suit the best to content. It DOES NOT try to uncover the originating encoding, in fact this program does not care about it. By originating we means the […]

Sentiment Analysis Sentiment analysis in computational linguistics is a general term for techniques that quantify sentiment or mood in a text. Can you tell from a text whether the writer is happy? Angry? Disappointed? Can you put their happiness on a 1-5 scale? Robust tools for sentiment analysis are often very desirable for companies, for example. Imagine that a company has just launched a new product GizmoX. Now the management wants to know how customers feel about it. Instead of […]

Text_and_Audio_classification_with_Bert Text Classification in Turkish Texts with Bert. Project Interface Goal= Correctly guessing the classification of texts and audios BERT_Text_Classification It is a text classification task implementation transformers (by HuggingFace) with BERT. It contains several parts: –Data pre-processing –BERT tokenization and input formating –Train with BERT –Evaluation –Save and load saved model Text-classification-transformers Text classification tasks are most easily encountered in the area of natural language processing and can be used in various ways. However, the given data needs to […]