nltk-library | Topic | Ecosyste.ms: Repos

hb20007/hands-on-nltk-tutorial

The hands-on NLTK tutorial for NLP in Python

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TGDivy/MBTI-Personality-Classifier

A model which uses your social media posting predict your MBTI personality type.

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abhishek305/PyBot-A-ChatBot-For-Answering-Python-Queries-Using-NLP

Pybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP for improving the efficiency of the chatbot. We will include voice feature for more interactivity to the user. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. NLTK has been called “a wonderful tool for teaching and working in, computational linguistics using Python,” and “an amazing library to play with natural language.The main issue with text data is that it is all in text format (strings). However, the Machine learning algorithms need some sort of numerical feature vector in order to perform the task. So before we start with any NLP project we need to pre-process it to make it ideal for working. Converting the entire text into uppercase or lowercase, so that the algorithm does not treat the same words in different cases as different Tokenization is just the term used to describe the process of converting the normal text strings into a list of tokens i.e words that we actually want. Sentence tokenizer can be used to find the list of sentences and Word tokenizer can be used to find the list of words in strings.Removing Noise i.e everything that isn’t in a standard number or letter.Removing Stop words. Sometimes, some extremely common words which would appear to be of little value in helping select documents matching a user need are excluded from the vocabulary entirely. These words are called stop words.Stemming is the process of reducing inflected (or sometimes derived) words to their stem, base or root form — generally a written word form. Example if we were to stem the following words: “Stems”, “Stemming”, “Stemmed”, “and Stemtization”, the result would be a single word “stem”. A slight variant of stemming is lemmatization. The major difference between these is, that, stemming can often create non-existent words, whereas lemmas are actual words. So, your root stem, meaning the word you end up with, is not something you can just look up in a dictionary, but you can look up a lemma. Examples of Lemmatization are that “run” is a base form for words like “running” or “ran” or that the word “better” and “good” are in the same lemma so they are considered the same.

Language: Python - Size: 49.8 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 47 - Forks: 31

luchux/ipython-notebook-nltk

An introduction to Natural Language processing using NLTK with python.

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rohitthapliyal2000/Amazon-Mobile-Sentiment-Analysis

Opinion mining of Mobile reviews on Amazon platform

Language: Python - Size: 146 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 19 - Forks: 2

rsher60/Sentiment-Analysis-by-combining-Machine-Learning-and-Lexicon-Based-methods

This project is on twitter sentimental analysis by combining lexicon based and machine learning approaches. A supervised lexicon-based approach for extracting sentiments from tweets was implemented. Various supervised machine learning approaches were tested using scikit-learn libraries in python and implemented Decision Trees and Naive Bayes techniques.

Language: Python - Size: 6.36 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 16 - Forks: 4

caciitg/UTrack

UTrack analyses the user's tweets and finds the level of Loneliness, Stress and Anxiety, and their trends over time

Language: Python - Size: 57.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 8

weblineindia/AIML-NLP-Text-Scoring

A Python based AI ML package for generating the best matching text from a paragraph for a given keyword/sentence.

Language: Python - Size: 89.8 KB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 1

nilmolne/Text-Mining-The-New-York-Times-Articles

Provides the tools needed to mine text from The New York Times online articles by using Python and a dictionary text mining technique, given a time range and country of interest.

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Arsh2k01/UTrack Fork of caciitg/UTrack

UTrack analyses the user's tweets and finds the level of Loneliness, Stress, and Anxiety, and their trends over time

Language: Python - Size: 56.9 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 5

hb20007/greek-dialect-classifier

Classifier that identifies Greek text as Cypriot Greek or Standard Modern Greek

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zuzannna/CoffeeFlavors

☕ Automatic tagging for coffee reviews using SCAA flavor wheel standardized tags 🤖☕

Language: Python - Size: 1.4 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 7 - Forks: 0

huseyincenik/nlp_natural_language_processing

NLP (Natural Language Processing)

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anunay999/image_captioning_vgg16

Imaging Captioning using VGG16

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anubhavsaxena14/Threat-Detection-using-Sentiment-Analysis

Threat Detection System using Hybrid (Machine Learning + Lexical Analysis) learning Approach.

Language: Python - Size: 44.9 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 6 - Forks: 6

infokiftikhar/Python-based-Sentiment-Analysis-with-Graphical-User-Interface-GUI-

Sentiment Analysis on Movie Review file with Python with the help of some common Python libraries i.e nltk, textblob, gensim etc. Also GUI is added in the Project with Python Tkinter Library.

Language: Python - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 5

binnazcabuk/Sentiment-Analysis-in-Turkish-Film

Graduation Project/Sentiment Analysis in Turkish Film Reviews

Language: Python - Size: 3.43 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 2

MeqdadDev/articles-text-to-speech

Convert the text of articles to speech using nltk, newspaper and gTTS with Python.

Language: Python - Size: 1.07 MB - Last synced at: 16 days ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 1

subhadeep-123/Sentiment-Analysis

In this repository I have implemented Sentiment analysis in twitter dataset and dataset

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datalivre/web-scraping

Raspando o site www.letras.mus.br em busca de letras musicais (scraping e crawling).

Language: Python - Size: 34.2 KB - Last synced at: 20 days ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 3

Wiryco/Natural-Language-Analysis-And-Processing

Estudo sobre análise e processamento de linguagem natural usando a biblioteca NLTK

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buseyaren/Logistic-Regression-with-NLTK

This Github repository states that sentiment analysis was performed on the "twitter140" dataset with Logistic Regression method using NLTK for English language.

Language: Python - Size: 11.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

felipexw/guessb

Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.

Language: Python - Size: 10.3 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

Tomjg14/Reddit-crawler

This repository is on the collection of comments from Reddit and how to work with those comments to perform sentiment analysis.

Language: Python - Size: 86.9 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1

shrutisaxena0617/Yelp-Restaurant-Classification-and-Sentiment-Analysis

A deep dive into Yelp customers' reviews and ratings to perform sentiment analysis and classify restaurants

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techcentaur/Chunking-NER

Chunking Data techniques in Named Entity Recognition(NER) using NLP libraries and algorithms

Language: Python - Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 3

jpsarkar/User_Location_Density_Categorization

Written in Python for SPARK for clustering customer based on geo-location to get various insight about behaviour

Language: Python - Size: 13.7 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 0

mounishvatti/SteamScrape

Ever wondered what players really think about a game before you dive in? This project does just that! By scraping Steam game reviews, we not only gather user feedback but also run some sentiment analysis to understand if the community is loving it or hating it.

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nirdesh17/movie-recommender-system

A movie recommendation system, is an AI/ML-based approach to filtering or predicting the users’ film preferences based on their past choices and behavior. It’s an advanced filtration mechanism that predicts the possible movie choices of the concerned user and their preferences towards a domain-specific item, aka movie.

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Rajspeaks/Machine-Learning-Approach-to-English-POS-Tagging-using-NLTK

Machine Learning approach to English Corpus POS Tagging using NLTK. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.

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suvrashaw/CureTalk

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ali-mohammed-khair-nasser/Text-Summarizer-and-Categorical

Text processing and summarize with the category web application for Arabic and English texts using NLTK, Python, Flask, and other web languages.

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su050300/webster2020 Fork of harshit212705/StrangeFlix

An On-Demand Video Streaming platform that provides an immersive experience where users can watch all their favorite movies, series, and videos.

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ivedants/Naive-Bayes-Spam-Email-Classifier

An implementation of an email spam filter using Naive Bayes method. Observed accuracy: 96.98%

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manena/sp-sentiment-analysis

Sentiment Analysis in Python trained with Amazon Spain reviews in Spanish

Language: Jupyter Notebook - Size: 85 KB - Last synced at: 21 days ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 2

prashant-kikani/Sarcasm-detector

Sarcastic sentence detector. Trained by sarcastic tweets.

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vivekpatani/text-summarizer

Language: Python - Size: 9.08 MB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 3 - Forks: 0

Arif-miad/Mental-Health-Status-Dataset-for-AI-and-Sentiment-Analysis-

Size: 6.84 KB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

Ahmed-AI-01/NLP

this repo will include all my work regarding NLP

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SOUMEE2000/Applicant_Tracking_System

This streamlitapp is built for employers looking to match best candidate resumes against a particular job description.

Language: Python - Size: 324 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 4

sherirosalia/cupid_shuffle

What sings to your heart, country or hip hop? Python, NLTK, NLP, applied to analyzing lyrics.

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mansourshebli/nltkPython

In this repo I provided simple examples to demonstrate how the the fundamentals of NLP on the NLTK library in Python works; Tokenization, Stopword Removal, Parts of Speech Tagging, Named Entity Recognition, Sentiment Analysis using VADER. For better understanding check this NLTK documentation:

Language: Python - Size: 52.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

silveirinhajuan/juanprime

I need help to improve my model and database. JuanPrime is a machine learning project built with PyTorch, focusing on creating a Discord bot. It utilizes natural language processing techniques to provide interactive bot functionalities within the Discord platform.

Language: Python - Size: 686 KB - Last synced at: 15 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

AIVenture0/Sentiment-Analysis-Using-Deep-Learning

Perform basic sentiment analysis Using Deep Learning

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AswinRam4433/Wordle-Insights

Strategy For Solving Wordle of The Day Using Python & NLTK

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harshiitsingh/Spam-Detection

In this repo, I made a analysis of spam messages using NLP.

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danhhuynh25029/LexicalAndParser

Language: Python - Size: 2.87 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

aifenaike/Customer-Review-Sentiment-Analysis

A sentiment analysis model for food product reviews by customers.

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jegazhu/text-sentiment-python

This is about sentiment text analysis in Python. I used libraries that allow us to work with natural language processing

Language: Python - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Shakilgithub20/News-Classification

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 16 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

Shubha23/Fake-News-Detection-Text-Preprocessing-and-Classification

Fake new detection using text classification as real or fake news segments. Required installations - Python 3.8, NLTK, Scikit-Learn, Jupyter. Text cleaning, tokenization, vectorization, classification model generation and evaluation.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

ShubhangiDabral13/NLP-through-NLTK

Graphing Live Twitter Sentiment Analysis with NLTK.

Language: Python - Size: 2.9 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3

sudoberlin/nlp

Practice Repository for Natural Language tasks!

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harunurrashid97/Summarization_With_WineReviews_Using_spaCy

In this repository, I will try to explore the Wine Reviews Dataset. It contains 130k of reviews in Wine Reviews. And at the end of this repository, I will try to make simple text summarizer that will summarize given reviews. The summarized reviews can be used as a reviews title also.I will use Spacy as natural language processing library for handling this project.

Language: Jupyter Notebook - Size: 823 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

devAmoghS/pos-tagger-nltk-scikit-learn

Part-Of-Speech Tagger using custom trained models, implemented with Scikit-Learn and NLTK

Language: Python - Size: 267 KB - Last synced at: 19 days ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

Aman83770/Briefly

A Text Summerization web app made on Flask framework

Language: HTML - Size: 572 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 4

priyanshsaxena/techmeet

Stock Market Analysis (5th Inter-IIT Tech Meet), IIT Mandi

Language: JavaScript - Size: 619 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 2 - Forks: 0

shilpavijay/NLTK-know-how

NLTK libraries and Machine Learning Algorithms in use.

Language: Python - Size: 6.9 MB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 2 - Forks: 0

pushpendrapratap/Multilingual-Dependency-Parser-for-English-Spanish-and-Dutch-Language-

In this, I have implemented a form of Joakim Nivre’s “arc-eager transition-based dependency parser”.

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nasim-raj-laskar/Chat-Bot

This project features a chatbot application built using Python and PyTorch. The chatbot is designed to interact with users based on predefined intents and provide responses using a neural network model.

Language: Python - Size: 44.9 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

Film2549/Data-Analysis-of-a-Simulated-Marketing-Business-Case-Using-Python-SQL-and-Power-BI

Data Analysis of a Simulated Marketing Business Case Using Python, SQL and Power BI

Language: Python - Size: 10.4 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

ap-dev-github/sentiment-analyzer-api

A lightweight, scalable, and serverless API for real-time sentiment analysis. Built using Flask, NLTK's SentimentIntensityAnalyzer, and deployed on AWS Lambda with the Serverless Framework, it efficiently classifies text as positive, negative, or neutral.

Language: Python - Size: 152 KB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

rani-sikdar/Natural-Language-Processing-NLP-Learning

A comprehensive repository of study materials, tutorials, and code implementations for Natural Language Processing (NLP). Includes topics like text preprocessing, embeddings, sentiment analysis, machine translation, and more. Ideal for learners and practitioners exploring the field of NLP.

Language: Jupyter Notebook - Size: 110 KB - Last synced at: 22 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

SartHak-0-Sach/Movie-Recommender-System

A Python-based web application that leverages Natural Language Processing (NLP) to recommend movies based on user preferences, including cast, genres, and production companies. Using the bag-of-words approach, the app compares movie attributes to suggest the best match.

Language: Python - Size: 9.1 MB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

sukanyadutta52/Sentiment-Analysis

An Analysis of How Machine Perceives Women and How Women Feel about Themselves As a Result of This Perception: Sentiment Analysis

Language: Jupyter Notebook - Size: 187 KB - Last synced at: 25 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

NhanPhamThanh-IT/NLTK-Guide 📦

A comprehensive guide to using the Natural Language Toolkit (NLTK) for text analysis in Python. This repository includes tutorials, examples, and best practices for leveraging NLTK’s powerful features to analyze and process textual data.

Language: Python - Size: 47.9 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

machphy/twitter_sentiment_analysis

Classify tweets as positive or negative using the Naive Bayes classifier with NLTK. This project processes tweets from the `twitter_samples` dataset, extracts features, and trains a sentiment analysis model.

Language: Python - Size: 871 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

AdesharaBrijesh/HealthCare-Chatbot

HealthCare Chatbot is an AI-powered assistant designed to provide initial medical guidance and appointment scheduling. It uses natural language processing to understand user symptoms, suggest potential conditions, and offer basic health advice.

Language: Python - Size: 38.1 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1

festusmaithyakcau/AI_Chat_Bot-Festus-Virtual-Assistant

I recently dived into the AI spce and came up with a bot which can be embedded on a website to help users navigate through the web context when customer service agents are offline... Probably it's a good move since it's my first time developing a machine learning model.You can send a PR where possible 🤝🤓🤝

Language: Python - Size: 89.8 KB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1