Contact:eaby.asha@gmail.com
Welcome to the NLP Applications and More project! This repository contains a collection of Natural Language Processing (NLP) applications, text analysis tools, and machine learning models for various NLP tasks. We utilize the latest machine learning models and techniques to provide state-of-the-art solutions.
This repository hosts a set of Python programs and tools that address various aspects of Natural Language Processing and related fields. Below is a brief description of each application:
Our Text Classification model utilizes cutting-edge machine learning algorithms to classify text data into predefined categories. It is equipped with state-of-the-art pre-trained models, making it suitable for a wide range of classification tasks.
The Text Summarization application uses advanced NLP techniques to generate concise and coherent summaries of long texts. It leverages extractive and abstractive summarization methods to provide accurate and meaningful summaries.
Our Language Generation model is designed for creative text generation tasks. It can be used for text completion, dialogue generation, and even story writing. We employ state-of-the-art language models like GPT-3 for this purpose.
Text Preprocessing is a fundamental step in NLP. Our program offers a comprehensive set of preprocessing tools, including tokenization, stemming, and stop-word removal, to prepare text data for analysis and modeling.
The Text Analytics and Visualization module provides insights into text data through descriptive statistics, sentiment analysis, and data visualization. It aids in understanding and interpreting text data effectively.
Our Twitter Monitoring tool allows you to monitor Twitter streams for specific keywords, hashtags, or user accounts. It's a valuable resource for social media analysis and real-time data collection.
The Speech Recognition and Synthesis program leverages google translate API to convert spoken language into text. It can also synthesize human-like speech from text input.
Our Machine Translation Application uses Google translate API to translate text between multiple languages. It supports a wide range of languages and ensures accurate and fluent translations.
For detailed usage instructions and code examples for each application, please refer to the respective code files and documentation provided within each file.
We stay up-to-date with the latest advancements in machine learning and NLP. Our applications are built using the most recent and efficient machine learning models, ensuring top-notch performance and ease of use.
For questions or feedback, feel free to email me at eaby.asha@gmail.com
This project is licensed under the MIT License.