Fixed the location of Better NLP in the NLP section

vaderjunior · Apr 14, 2019 · a1756b1 · a1756b1
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diff --git a/examples/better-nlp/better-nlp-spacy-texacy-examples.ipynb b/examples/better-nlp/better-nlp-spacy-texacy-examples.ipynb
@@ -24,7 +24,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Setup and installation\n",
+    "#### Setup and installation ( optional )\n",
     "\n",
     "In case, this notebook is running in a local environment (Linux/MacOS) which does not have the necessary dependencies installed the next section would need to be executed.\n",
     "\n",
@@ -72,7 +72,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Install Spacy model\n",
+    "#### Install Spacy model ( NOT optional )\n",
     "\n",
     "Install the large English language model for spaCy - will be needed for the examples in this notebooks.\n",
     "\n",
@@ -100,7 +100,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -109,7 +109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -126,21 +126,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Loading model 'en'...\n",
-      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
-      "model_loading_time_in_secs= 16.76767325401306\n",
-      "model_loading_method= directly, first time\n",
-      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "model_loading_result = betterNLP.load_nlp_model()\n",
     "print(\"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\")\n",
@@ -153,49 +141,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
-      "extract_entities_processing_time_in_secs= 0.05238509178161621\n",
-      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
-      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
-      "Denis Guedj (PERSON)\n",
-      "1940 – April 24, 2010 (DATE)\n",
-      "French (NORP)\n",
-      "the History of Science (ORG)\n",
-      "Paris VIII University (ORG)\n",
-      "Setif (NORP)\n",
-      "many years (DATE)\n",
-      "The Parrot's Theorem (WORK_OF_ART)\n",
-      "Paris (GPE)\n",
-      "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
-      "                                   Token entity types\n",
-      "0                PERSON = People, including fictional\n",
-      "1   NORP = Nationalities or religious or political...\n",
-      "2   FAC = Buildings, airports, highways, bridges, etc\n",
-      "3        ORG = Companies, agencies, institutions, etc\n",
-      "4                     GPE = Countries, cities, states\n",
-      "5   LOC = Non-GPE locations, mountain ranges, bodi...\n",
-      "6   PRODUCT = Objects, vehicles, foods, etc. (Not ...\n",
-      "7   EVENT = Named hurricanes, battles, wars, sport...\n",
-      "8           WORK_OF_ART = Titles of books, songs, etc\n",
-      "9                LAW = Named documents made into laws\n",
-      "10                      LANGUAGE = Any named language\n",
-      "11       DATE = Absolute or relative dates or periods\n",
-      "12                    TIME = Times smaller than a day\n",
-      "13                PERCENT = Percentage, including ”%“\n",
-      "14            MONEY = Monetary values, including unit\n",
-      "15  QUANTITY = Measurements, as of weight or distance\n",
-      "16                   ORDINAL = “first”, “second”, etc\n",
-      "17  CARDINAL = Numerals that do not fall under ano...\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "parsed_generic_text = betterNLP.extract_entities(model, generic_text)\n",
     "print(\"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\")\n",

diff --git a/natural-language-processing/README.md b/natural-language-processing/README.md
@@ -23,7 +23,7 @@
 ## Library, Framework, Models, Tools
 
 - [BloomburyAI's Open Source NLP tool: Cape Webservices - backend server](https://github.com/bloomsburyai/cape-webservices) | [Rest of BloomburyAI's Open Source NLP tool - Cape](https://www.github.com/bloomsburyai) [Bought out by FB around March/April 2019]
-- [Better NLP library (experimental)](./examples/better-nlp/)
+- [Better NLP library (experimental)](../examples/better-nlp)
 - [Facebook's PyText](https://github.com/facebookresearch/PyText)
 - [Facebook's FastText](https://github.com/facebookresearch/FastText) | [homepage | docs](https://fasttext.cc/)
 - [Smile - Statistical Machine Intelligence and Learning Engine](https://haifengl.github.io/smile)