feat: Ignore non-topic detected tweets and words

app.py

@@ -105,7 +105,7 @@ def draw_interactive_scatter_plot(
         Palette = AuxPallete
     p = figure(plot_width=800, plot_height=800, tools=[hover], title='2D visualization of tweets', background_fill_color="#fafafa")
     colors = factor_cmap("label", palette=[Pallete[n_colors][int(id_) + 1] for id_ in values_set], factors=values_set)
-    p.circle("x", "y", size=12, source=source, fill_alpha=0.4, line_color=colors, fill_color=colors, legend_group="label")
+    p.circle("x", "y", size=12, source=source, fill_alpha=0.4, line_color=colors, fill_color=colors, legend_group="original_label")
     p.axis.visible = False
     p.xgrid.grid_line_dash = "dashed"
     p.ygrid.grid_line_dash = "dashed"
@@ -141,6 +141,9 @@ def generate_plot(
     cluster_keyword = {}
     with st.spinner("Now trying to express them with my own words... 💬"):
         for label in set(encoded_labels):
+            if label == '-1':
+                cluster_keyword[label] = '-1'
+                continue
             cluster_keyword[label] = []
             cluster_tws = []
             for ix, obs in enumerate(encoded_labels):