CoreSpace NER

Named Entity Recognition for NLP.

Extracts 24 standard named entities.

Noun chunk extraction. (Tagged as : OTHER)

Sentiment Analysis.

REST API port 5002.

Built on top of TextBlob, CoreNLP & Spacy.

Standard Entities

ORGANIZATION
PERSON
LOCATION
DATE
TIME
MONEY
CITY
STATE
COUNTRY
NATIONALITY
RELIGION
EVENT
EMAIL
URL
PRODUCT
WORK OF ART
LAW
LANGUAGE
ARCHITECTURE
PERCENT
TITLE
CRIMINAL CHARGE
IDEOLOGY
DURATION
OTHER

Example

=== INPUT ===
{"text":"Ramesh Jha, born in a Indian middle class family on 12-06-1991 (Monday), has finally got his scholarship of $10000 from London School of Economics. He is going to reach London after 1 month. In future, he wants to be a CEO of his own venture. You can reach him at rameshjha@lse.edu or rameshjha.com."}


=== OUTPUT ===
{
  "text": "Ramesh Jha, born in a Indian middle class family on 12-06-1991 (Monday), has finally got his scholarship of $10000 from London School of Economics. He is going to reach London after 1 month. In future, he wants to be a CEO of his own venture. You can reach him at rameshjha@lse.edu or rameshjha.com.",
  "keywords": [
    {
      "name": "Ramesh Jha",
      "category": "PERSON",
      "start": 0,
      "end": 10
    },
    {
      "name": "middle class",
      "category": "IDEOLOGY",
      "start": 29,
      "end": 41
    },
    {
      "name": "family",
      "category": "OTHER",
      "start": 42,
      "end": 48
    },
    {
      "name": "12-06-1991",
      "category": "DATE",
      "start": 52,
      "end": 62
    },
    {
      "name": "Monday",
      "category": "DATE",
      "start": 64,
      "end": 70
    },
    {
      "name": "scholarship",
      "category": "OTHER",
      "start": 93,
      "end": 104
    },
    {
      "name": "$10000",
      "category": "MONEY",
      "start": 108,
      "end": 114
    },
    {
      "name": "London School of Economics",
      "category": "ORGANIZATION",
      "start": 120,
      "end": 146
    },
    {
      "name": "London",
      "category": "CITY",
      "start": 169,
      "end": 175
    },
    {
      "name": "1 month",
      "category": "DURATION",
      "start": 182,
      "end": 189
    },
    {
      "name": "future",
      "category": "DATE",
      "start": 194,
      "end": 200
    },
    {
      "name": "CEO",
      "category": "TITLE",
      "start": 219,
      "end": 222
    },
    {
      "name": "own venture",
      "category": "OTHER",
      "start": 230,
      "end": 241
    },
    {
      "name": "rameshjha@lse.edu",
      "category": "EMAIL",
      "start": 264,
      "end": 281
    },
    {
      "name": "rameshjha.com",
      "category": "URL",
      "start": 285,
      "end": 298
    }
  ],
  "sentiment": [
    {
      "sentence": "Ramesh Jha, born in a Indian middle class family on 12-06-1991 (Monday), has finally got his scholarship of $10000 from London School of Economics.",
      "sentiment": "NEUTRAL"
    },
    {
      "sentence": "He is going to reach London after 1 month.",
      "sentiment": "NEUTRAL"
    },
    {
      "sentence": "In future, he wants to be a CEO of his own venture.",
      "sentiment": "POSITIVE"
    },
    {
      "sentence": "You can reach him at rameshjha@lse.edu or rameshjha.com.",
      "sentiment": "NEUTRAL"
    }
  ],
  "doc_sentiment": "POSITIVE"
}

Docker

Coming soon.

Installation

Requirements

Java 8 or greater.
Python 3.6 or greater.

Setup

Fire up a Terminal :

# Install Spacy and EN model.
$ sudo pip3 install -U spacy
$ sudo python3 -m spacy download en_core_web_sm

# Clone the repo.
$ git clone https://github.com/rickeydas/corespace-ner.git
$ cd corespace-ner

# Download CoreNLP.
$ wget "http://nlp.stanford.edu/software/stanford-corenlp-full-2018-10-05.zip"
$ unzip stanford-corenlp-full-2018-10-05.zip && mv stanford-corenlp-full-2018-10-05 stanford_corenlp

# Run CoreNLP server.
$ cd stanford_corenlp
$ nohup java -cp "*" -mx4g edu.stanford.nlp.pipeline.StanfordCoreNLPServer &

# Run corespace_ner api.
$ cd ..
$ nohup python3 corespace_ner.py &

Rest API parse text.

http://<ip_address>:5002/keywords
Method : POST
Accept / Content_type : application/json
Data : {"text": "<your_text>"}

Support

Reach out to me at one of the following places!

License

GNU General Public License