mdp0999

Knowledge-Graph-Analysis-Programming-Exercises

Exercises for the Analysis of Knowledge Graphs

Telugu-Morphological-Analyzer-Verbs

It is the implementation of Telugu verb forms. In Telugu, verbs can be identified in two types: one based on termination of Tense+PNG(person-number-gender) and another one based on the termination of their suffixes roots. It is very useful for learning Telugu grammar. It generates all the forms of Telugu verbs with gender and without gender based on given verbs or extracted verbs from Telugu text.

acl2018-semantic-parsing-tutorial

Materials from the ACL 2018 tutorial on neural semantic parsing

adam_qas

ADAM - A Question Answering System. Inspired from IBM Watson

afinn

AFINN sentiment analysis in Python

AI-Blocks

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

Aspect-level-sentiment-classification-

Aspect level sentiment classification is a fundamental task in the field of sentiment analysis. People write reviews for products and services. Both products and services have different aspects on which people give their opinions. Here people talked about two aspects of restaurant domain, food and staff. Given a sentence and an aspect occurring in the sentence, this task aims given a set of sentences, classify each word in each sentence into Aspect (ASP-Positive) and Non - Aspect(NASP-Negative) and second is to cluster the list of aspects into ‘n’ clusters.

Automatic_Speech_Recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

awesome-sentiment-analysis

Repository with all what is necessary for sentiment analysis and related areas

CliNER

Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.

code_search

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

conll2018

decaNLP

The Natural Language Decathlon: A Multitask Challenge for NLP

DeepQA

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

DeepSpeech

A PaddlePaddle implementation of DeepSpeech2 architecture for ASR.

Emotion

:smile: Recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning.

kaldi

This is now the official location of the Kaldi project.

MixedEmotions

Documentation for the MixedEmotions Toolbox

NAMAS

Neural Attention Model for Abstractive Summarization

NRHM-Data-Associative-challenge-

What analyses should be undertaken by SocialCops to help the Government of Maharashtra's Health Department to identify the root causes of the extreme Health trends in Nagpur District?

Plural-Formation-of-Telugu-Nouns-Using-Morphology-

Here I am present the development of a tool, called Plural formation of Telugu Nouns using Morphology,that can generate plural forms of nouns of Telugu. It has been developed based on the previously established linguistic analyses of Telugu by C.P. Brown and H. Krishnamurthy. The tool is developed in Prolog.

pyAudioAnalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

Resume-Ranker-by-using-Mapping-Method

SCN_for_video_captioning

Using Semantic Compositional Networks for Video Captioning

spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spacy-lookup

Named Entity Recognition based on dictionaries

speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

tfClassifier

Tensorflow based training and classification scripts for text, images, etc

UD_Telugu-MTG

Telugu data.

Word-Prediction-for-text-entry-in-Dravidian-Languages

It is a Data Science project. The goal of the Data Science project is to use NLP theory, to develop an application that predicts the next word.